The Made tech Data Engineer interview guide, interview questions, salary data, and interview experiences.

Made tech Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Made tech? The Made tech Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Made tech Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Made tech.</li>
<li>Practice real Made tech Data Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Made tech Data Engineer interview.


Getting ready for an Data Engineer interview at Made tech? The Made tech Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Made tech Data Engineer roles.
- Gain insights into the Data Engineer interview process at Made tech.
- Practice real Made tech Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Made tech Data Engineer interview.
        

Overview

Made tech Data Engineer Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Made tech Data Engineer Interview Process

You are given a dictionary with a key-value of <code>{string: number}</code> where values in the dictionary could be duplicates. You are required to extract the unique values from the dictionary where the value occurred only once.

Return a list of values where they occur only once.

Note: You can return the values in any order.

Input:

<pre tabindex="0" class="chroma"><code>dictionary = {&#34;key1&#34;: 1, &#34;key2&#34;: 1, &#34;key3&#34;: 7, &#34;key4&#34;: 3, &#34;key5&#34;: 4, &#34;key6&#34;: 7}
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>find_unique_values(dictionary) -&gt; [3,4]

#Only 3 and 4 occurred once.
</code></pre>

Dictionary Unique Values

Given a table called <code>employees</code>, get the largest salary of any employee by department

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>largest_salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Write a query to get the largest salary of any employee by department

Largest Salary by Department

You’re given a dataframe of students named <code>students_df</code>:

<code>students_df</code> table

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Nicole Johnson</td>
<td>20</td>
<td>yellow</td>
<td>95</td>
</tr>

<tr>
<td>Elsa Williams</td>
<td>21</td>
<td>green</td>
<td>82</td>
</tr>

<tr>
<td>John James</td>
<td>20</td>
<td>blue</td>
<td>75</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>
Write a function named <code>grades_colors</code> to select only the rows where the student’s favorite color is green or red and their grade is above 90.

Example:

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

students = {&#34;name&#34; : [&#34;Tim Voss&#34;, &#34;Nicole Johnson&#34;, &#34;Elsa Williams&#34;, &#34;John James&#34;, &#34;Catherine Jones&#34;], &#34;age&#34; : [19, 20, 21, 20, 23], &#34;favorite_color&#34; : [&#34;red&#34;, &#34;yellow&#34;, &#34;green&#34;, &#34;blue&#34;, &#34;green&#34;], &#34;grade&#34; : [91, 95, 82, 75, 93]}

students_df = pd.DataFrame(students)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def grades_colors(students_df) -&gt;
</code></pre>

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>

Write a function to select only the rows where the student's favorite color is green or red and their grade is above 90.

Good Grades and Favorite Colors

Made tech Data Engineer Interview Questions

Salary: Up to £55,000 depending on experience Location: London, Bristol or Manchester - Hybrid Support in applyingIf you need this job description in another format, or other support in applying, please email talent@madetech.com. We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we’ll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. Key ResponsibilitiesAt Made Tech we want to positively impact the future of the country by using technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision-making for our clients. As a Data Engineer, you'll play a hands-on role as a contributor to client projects, focusing on both delivering engineering work as well as upskilling members of the client team. As a member of the data capability within Made Tech, you will also participate in our hiring process and continued development of the team, as well as representing us both internally to the organisation and publicly via presentations. You’ll need to have a drive to deliver outcomes for users and have a desire to mentor teams. You will need to be comfortable sharing your knowledge and skills with others. Maybe you’ve written some blog posts about your discipline, or perhaps even delivered a talk or two that you’d like to share. Skills, Knowledge and ExpertiseWe look for the following skills and experience. But when we’re hiring for this role, if you don’t have some of the skills and experience listed below, don’t let that stop you from applying!<ul><li>Working directly with clients and users</li><li>Designing and implementing efficient data transformation processes at scale, in either batch or streaming use cases</li><li>Contributing to the cloud infrastructure underpinning data systems through a DevOps approach</li><li>Basic understanding of the possible architectures involved in modern data system design (e.g. warehouses, lakes, and meshes)</li><li>Agile practices such as Scrum, XP, and/or Kanban</li><li>Showcasing and presentation skills</li><li>Evidence of self-development – we value keen learners</li><li>Empathy and people skills</li></ul> Desirable experienceExperience in the following things isn’t essential, but it’s highly desirable!<ul><li>Working at a technology consultancy</li><li>Pair programming</li><li>Working with data scientists to productionise advanced data deliverables, such as machine learning models</li><li>Infrastructure-as-Code (e.g. Terraform, Cloud Formation)</li><li>Working knowledge of statistics</li><li>Working with multidisciplinary digital and technology teams</li><li>Working within the public sector</li></ul> Life at Made TechWe’re committed to building a happy, inclusive and diverse workforce. You can get a sense of what it’s like working here from <a>our blog, where we talk about mental health, communities of practice and neurodiversity</a> (as well as our client work and best practice). Like many organisations, we use Slack to chat to each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If you’d like to speak to someone from one of these groups about their experience as an employee, let your recruitment agent or Made Tech Talent Partner know. The groups are:<ul><li>antiracist-activists</li><li>disability</li><li>lgbtqiaplus-allies-and-activists</li><li>neurodiversity</li><li>parents-carers</li><li>women-in-tech</li></ul> BenefitsWe are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We’re also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: ✈️ <a>30 days Holiday</a> - we offer 30 days of paid annual leave???? <a>Flexible Parental Leave</a> - we offer flexible parental leave options????‍???? <a>Remote Working</a> - we offer part time remote working for all our staff???? <a>Paid counselling</a> - we offer paid counselling as well as financial and legal advice. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility.Eligibility for SC requires 5 years' UK residency and 5 year' employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why.

Job Title Software Data Engineer Location Panama City, FL US (Primary) Job Type Full-time Education Bachelor's Degree Travel None Security Clearance Required Ability to obtain and maintain a U.S. Security Clearance Job Description Job Description INTENT AND FUNCTION OF JOB DESCRIPTION This job description is a general description of the essential job functions and is not an employment contract. Position requirements, skills, and abilities included in this job description have been determined to be the minimal standards recommended for the position. Eastern Shipbuilding Group Inc. reserves the right to increase, modify, or reduce the position requirements, skills, and abilities included in this job description. The duties, responsibilities, and requirements described should not be interpreted as an all-inclusive or comprehensive listing of all activities, duties, or responsibilities that are associated with this job. All employees of Eastern Shipbuilding Group, Inc. are expected to perform the duties as assigned by Eastern Shipbuilding Group, Inc., supervisory/management personnel, regardless of job title or routine job duties. In accordance with the Americans with Disabilities Act, reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions. However, no accommodation will be made which may pose serious health or safety risks to the employee or others or which impose an undue hardship on Eastern Shipbuilding. The headings in this Job Description are for convenience only. Purpose: The Software Data Engineer is responsible for the development, implementation and maintenance of software, data platforms and analytical applications. Working under the guidance of Software Data Engineering Supervisor, the Software Data Engineer helps ensure the integrity, security, and availability of the software and database applications. They assist in performing routine tasks such as gathering requirements for the project, creating the system requirements and design specification documents, perform unit & integration testing, assist during the project implementation and provide support for software/database applications. Assist in designing the front-end user interface using SharePoint/other front-end tools and write basic SQL statements to generate reports. Ability to multi-task and work on multiple projects simultaneously. Ability to work independently and as part of a team. Functions : Assists the Software Data Engineering Supervisor to create robust software/database solutions aligned to Government shipbuilding standards. Assists in gathering business requirements by collaborating with the stake holders, studying process workflows, data usage and work processes. Design, develop, and implement automated workflows using Microsoft Power Automate and MS365 tools to improve business processes. Troubleshoot and optimize existing workflows to improve efficiency and reliability. Create, customize, and enhance SharePoint sites to facilitate team collaboration and document management. Write basic SQL queries such as select statements and joins to extract data from SQL servers in a consistent and efficient manner. Experience with data analysis tools and with building reports and dashboards using Power BI. Assists in training end users and maintains high quality documentation that follows all phases of the software development cycle. Works cross-functionally with other departments to understand and document requirements for new or changed data processes and provide technical solutions. Understands the data sensitivity, customer data privacy rules and regulations related to Government Shipbuilding and applies them consistently in all Software Lifecycle Management activities. Additional duties as assigned. Supervisory Responsibilities This position has no supervisory responsibilities. Reporting Relationship This position will report to the Software Data Engineering Supervisor. Job Requirements Qualifications Education/Experience: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent. 5 years of industry experience. Required US Citizenship or Permanent Resident Status. Experience in Microsoft 365 tools such as Power Apps, Power Automate, SharePoint, MS Office tools etc. Experience in SQL and database query languages. Experience in web development technologies (HTML, CSS3 and JavaScript). Familiarity with software testing methodologies and tools. Strong written and verbal communication skills. Teamwork skills with a problem-solving attitude. Desired Shipyard experience Working Conditions This position is considered OFFICE WORK which is characterized as follows. Almost exclusively indoors during the day and occasionally at night Occasional exposure to airborne dust in the work place Work surface is stable (flat) Physical Activity/Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This position is considered LIGHT work. We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.

Additional Qualifications and Skills <ul><li>Strong programming experience, including Java, Python, and/or Javascript</li><li>Proficiency with SQL for querying, manipulation, and analysis</li><li>Familiarity with Relational Database Systems (e.g. PostgreSQL, MySQL, Snowflake, or similar)</li><li>Understanding of ETL processes and automation</li><li>Experience with cloud platforms (e.g. AWS, GCP, or similar) and their services</li><li>Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor</li><li>Working knowledge of a modern web framework (e.g. Node, Vue, React, Angular, Django, etc.)</li><li>Experience deploying software on highly scalable cloud platforms (e.g., GCP, AWS, Heroku)</li><li>Experience with building APIs and services using REST</li><li>Experience building data dashboards</li><li>Experience with containers and Kubernetes</li><li>Experience with CI/CD pipelines </li><li>Experience with infrastructure-as-code and infrastructure automation technologies (e.g., Docker, Terraform, Helm)</li><li>Experience with Salesforce products (e.g. SFMC, Sales Cloud)</li></ul> Additional Information Please note: This is a two-year term position with the possibility of renewal dependent upon business need and continued funding. Selected candidates may be asked to provide additional materials. VPAL is not able to provide visa sponsorship for this position. This position has a 3-month orientation and review period. The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up to date on CDC-recommended vaccines. EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. Certificates and Licenses <ul> <li>Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred</li> </ul> Working Conditions <ul><li>In-person work is performed in an open office setting</li><li>VPAL is a hybrid office, as our team places a high value on the in-person experience, cross-team collaboration, and strong community building. Individual flexible work options for this role, including hybrid, will be discussed during the interview process. Specific in-office and schedule will be determined between you and your manager. All work must be performed in a state where Harvard is registered to do business (CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT, WA). </li></ul> Position Description Summary: The Associate Data Engineer is a member of the Office of the Vice Provost for Advances in Learning (VPAL) reporting to the Director of Strategic Technology. VPAL is charged with envisioning the future of teaching and learning at Harvard. To that end, VPAL is engaged in a variety of initiatives advancing opportunities and outcomes for a global community of learners. The Associate Data Engineer will play a critical role in enabling marketing, customer service, finance, and content teams within VPAL to make data-driven decisions related to the learning products deployed on the LXP. Most of the Associate Data Engineer work will relate to the new University-wide learning experience platform that Harvard has developed. As part of a team of developers, business analysts, and data scientists, the Associate Data Engineer will be responsible for developing, testing, deploying, and maintaining software, including web applications, learning platforms, APIs, daily ETL data operations, infrastructure, and data analytics dashboards. They will also explore, test, and evaluate new technology stacks and approaches to data architecture to improve the efficiency and stability of data pipelines. This role will require experience in automating and debugging operations across multiple data sources that support a variety of business functions. The Associate Data Engineer will also communicate directly with subject matter experts and product owners to understand the needs of data end-users and inform upstream data processes. The Associate Data Engineer will also be a member of the Harvard technical community. At times, such coordination will provide opportunities to attend and contribute to meetings with other technical professionals across the University and beyond. Core Duties:<ul><li>Develop and maintain new and pre-existing features and integrate applications with existing APIs as well as third-party APIs.</li><li>Design, develop, deploy, and support scalable software systems.</li><li>Build and maintain tools for deployment, monitoring, and operations.</li><li>Automate and streamline operations and processes.</li><li>Collaborate cross-functionally with engineers, project managers, and data scientists to understand business problems and identify solutions.</li><li>Collaborate with team members in architectural discussions and contribute to general improvements across all projects as directed.</li><li>Abide by and follow the Harvard University IT technical standards, policies, and Code of Conduct</li></ul> Commitment to Equity, Diversity, Inclusion, and Belonging Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values. Benefits We invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include: <ul> <li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li> <li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li> <li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li> <li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul> Work Format Details This is a hybrid position that is based in Massachusetts. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment. About Us About the Office of the Vice Provost for Advances in Learning (VPAL) The Office of the Vice Provost for Advances in Learning seeks to shape the future of education by discovering new ways to build the competence, curiosity, and confidence of learners on our campuses and around the world. We create engaging and scalable learning experiences, cultivate inspiring ideas, and connect a global community of learners-while developing tools, technologies, platforms, and policies to reduce friction throughout the learning lifecycle. To learn more, visit http://vpal.harvard.edu. VPAL is committed to convening and nurturing a diverse community dedicated to promoting inclusive excellence and leadership in teaching and learning. We celebrate, welcome, and honor all backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values. We strive to ensure that all feel included in our mission, our work, and our learning inside and outside our organization. We affirm that inclusivity and belonging are the foundations of excellence.

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for "Find Jobs for Students". All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page. Closing Date: Type of Position:Professional Staff (Non-Classified), Professional Staff - Project/Program Administration Workstudy Position: NoJob Type:Regular Work Shift: Sponsorship Available: NoInstitution Name: University of Arkansas at Little Rock The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation. Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply link/button. If you have a disability and need assistance with the hiring process please contact Human Resources at 501-916-3180. For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-916-3180. Department:COSMOS Department's Website: https://cosmos.ualr.edu/Summary of Job Duties:The Data Engineer position is a full-time position at the COSMOS Research Center (cosmos.ualr.edu). The Data Engineer will be responsible for collecting, managing, and converting raw data into usable information for analytics and decision-making. This role requires comprehensive data analysis skills, developing and maintaining datasets, and improving data quality and efficiency through leveraging data systems and pipelines, interpreting trends and patterns of data, complex data reports, and building algorithms and prototypes. In addition, the other responsibilities include leading the development of social media data collection pipelines, inference methods and infrastructure, classification methods and infrastructure, and visualization dashboards. The Data Engineer will collaborate with researchers, participate in research projects, and interact with other developers at the COSMOS research center and partner organizations to achieve the best possible performance metrics across various projects. Excellent communication and problem-solving skills are essential for this on-campus position as the data engineer's role is to find opportunities to contribute to cutting-edge research in the exciting field of social computing. Position reports to Dr. Nitin Agarwal (nxagarwalualr.edu), Maulden-Entergy Endowed Chair and Distinguished Professor and Director, COSMOS Research Center, UA-Little Rock. This position is governed by state and federal laws, and agency/institution policy.Qualifications: Required Education and/or Experience: The candidate must have a bachelor's degree in Computer Science, Information Science, or a related discipline. Preferred Education and/or Experience: Having a Master's or a Ph.D. degree in Computer Science, Information Science, or a related discipline is a plus; Having a data engineer certification (e.g., IBM Certified Data Engineer) is a plus; A candidate with prior experience in data engineering and data management roles in social media data will be given preference. Job Duties and Responsibilities : Collecting and analyzing raw data from various sources including social media platforms; Organize and maintaining datasets; Improving data quality and efficiency; Design and manage data pipelines that encompass the journey of data from source to destination systems; Setup and manage the infrastructure required for ingestion, processing, and storage of data; Evaluate the model needs and objectives; Interpret trends and patterns of data; Conduct complex data analysis and report on results; Prepare data for analysis and reporting by transforming and cleansing it; Combine raw information from different sources; Explore ways to enhance data quality and reliability; Identify opportunities for data acquisition; Develop analytical tools and programs; Collaborate with teams at COSMOS on several projects; Other tasks as asked. Knowledge, Skills, and Abilities: Technical expertise in data models, data pipelines, ETL processes, data stores, data mining, and segmentation techniques; Excellent knowledge of programming/scripting languages (e.g., Java and Python); Experience with data integration platforms and SQL database design; Great numerical, analytical, and data security skills; Degree in Computer Science, IT, or a similar field; a Master's is a plus; Data engineering certification (e.g., IBM Certified Data Engineer) is a plus; Prior experience as a data engineer or in a similar role is a plus. Additional Information: Salary Information: $35,568 - $96,120 Required Documents to Apply: Resume Optional Documents: Special Instructions to Applicants: Recruitment Contact Information: Dr. Nitin Agarwal (nxagarwalualr.edu) Maulden-Energy Chair and Distinguished Professor Director, COSMOS Research Center All application materials must be uploaded to the University of Arkansas System Career Sitehttps://uasys.wd5.myworkdayjobs.com/UASYS Please do not send to listed recruitment contact. Pre-employment Screening Requirements:Criminal Background Check, Sex Offender Registry The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law. The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights. Persons must have proof of legal authority to work in the United States on the first day of employment. All application information is subject to public disclosure under the Arkansas Freedom of Information Act. Constant Physical Activity:Manipulate items with fingers, including keyboarding, Sitting, Standing, Talking, WalkingFrequent Physical Activity:Manipulate items with fingers, including keyboarding, Sitting, Standing, Talking, WalkingOccasional Physical Activity:Manipulate items with fingers, including keyboarding, Sitting, Standing, Talking, WalkingBenefits Eligible:Yes

Plano 6 (31066), United States of America, Plano, Texas Senior Data Engineer (Python, Kafka, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. As a data engineer for the Auto Lending Platform Data Engineering and Analytics team, you will get to work on the most cutting-edge Fintech products that Capital One is building for its customers. You will be working on creating One Stream data pipelines for real time consumption as well as building reports in Tableau, QuickSight, and other tools to provide insights to stakeholders which includes multiple VPs and Directors. If you are passionate about innovation in both engineering and analytics, come join our team What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5 years of experience in application development including Python, SQL, Scala, or Java 2 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3 years experience with Distributed data/computing tools (MapReduce, Eventbridge, EMR, Kafka, Spark, or PostgresQL) 2 year experience working on real-time data and streaming applications 2 years of experience with NoSQL implementation (Mongo, Cassandra) 2 years of data warehousing experience (Redshift or Snowflake) 3 years of experience with UNIX/Linux including basic commands and shell scripting 2 years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Location: Mt. Sterling, IL, or Chesterfield, MO Department: Information Technology Reports To: Director of Data & AI Salary Range: $97,572 - $146,359 WHO YOU ARE You're analytical, a big picture thinker, and detail oriented. You're enjoy high level strategy, and you're able to present technical ideas to the business. You lead and mentor others, and you collaborate across teams. If this sounds like you, Dot Foods wants you on our team. As a Senior Data Engineer, you will lead the architectural design of scalable data and AI solutions, ensuring alignment with business goals. You'll develop best practices, collaborate cross-functionally, support data governance, and drive adoption of innovative technologies for secure, compliant, and efficient deployment of AI and data systems at scale, while engaging stakeholders across all levels. WHAT YOU'LL DO <ul><li>Lead and guide a team of data engineers, help with troubleshooting, task prioritization, and ensure the successful completion of data pipeline projects</li><li>Automate data wrangling from a wide variety of sources (flat files, remote servers, databases, legacy systems, message queues, APIs and more)</li><li>Take ownership of larger or more complex data projects, ensuring alignment with business needs and timely delivery, while supporting other team members on their tasks</li><li>Collaborate with IT and business teams to understand data needs, ensuring that data pipelines and processes meet operational requirements and support business analytics.</li><li>Leverage many technologies and methodologies as required-including scripting and programming languages</li><li>Assist in the preparation, deployment, and maintenance of machine learning/artificial intelligence data pipelines</li></ul> YOU MUST HAVE <ul><li>Bachelor's degree</li><li>4+ years of hands-on experience in data engineering or a related field</li><li>Proficiency in IBM DataStage or equivalent data integration tool</li><li>Ability in developing, deploying, and maintaining data processes and pipelines in Python</li><li>2+ years of experience in hybrid cloud environments</li><li>Exceptional problem-solving skills and the ability to build and orchestrate code in numerous ways to support analytics deployment</li><li>Effective interpersonal skills, with positive professional verbal and written skills</li></ul> YOU MAY ALSO HAVE <ul><li>Bachelor's degree in Business Analytics, Computer Science, Mathematics, Statistics, or related field</li><li>IBM Data Engineer certification</li><li>Ability to work independently as well as within a team environment</li><li>Effective project management and planning skills</li></ul> ROLE SPECIFICS <ul><li>Travel - Occasional overnight travel 1-3 nights per quarter for company meetings. Must have ability to travel independently as needed, without restriction by all modes of transportation, including car, plane, or train.</li><li>Schedule - ability to work flexible hours; may include evening & weekend hours as needed</li></ul> WHO WE ARE Dot Foods makes products more accessible and affordable to the food industry. We add efficiency to the supply chain and build strong partnerships with distributors, suppliers, and operators. Our company was created on a foundation of respect and dependability. People who are open to input, ask questions, embrace diversity, and seek innovative solutions thrive here. WHAT DOT CAN OFFER YOU As a family-owned and-operated company since 1960, Dot Foods has created a strong family culture. We make everyone feel included and respected. In addition to an inclusive working environment, we will provide you with: <ul><li>Competitive compensation package, including bonuses for successful performance</li><li>Extensive benefits including medical, dental, 401k, and profit-sharing</li><li>Significant advancement opportunities</li></ul> Safety: This position assumes responsibility for the workplace safety of self and co-workers, and for the safety conditions of the work locations, exercise and promotes safe behaviors and show unyielding support of programs, rules, and policies regarding safety. EOE/AA Employer: Dot believes all persons are entitled to equal employment opportunities. Dot will not discriminate against its employees or applicants for employment because of sex, race, color, religion, national origin, age, sexual orientation, disability, or veteran status or other basic classes protected by applicable federal or state law provided they are qualified for employment or for existing positions. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Location: Mt. Sterling, IL, or Chesterfield, MO Department: Information Technology Reports To: Director of Data & AI Salary: $77,132 - $115,698 WHO YOU ARE You're analytical, a big picture thinker, and detail oriented. You're a problem solver, and you're able to present technical ideas to the business. You enjoy interacting with people and communicating across teams. If this sounds like you, Dot Foods wants you on our team. As a Data Engineer, you will design, test, and maintain data pipelines for advanced analytics. You'll transform complex datasets, ensuring alignment with strategic goals, and collaborate with IT and business experts to deliver crucial insights in adherence to information best practices. WHAT YOU'LL DO <ul><li>Automate data wrangling from a wide variety of sources (flat files, remote servers, databases, legacy systems, message queues, APIs and more)</li><li>Identify opportunities to improve system and business process efficiencies</li><li>Cleanse/transform data in preparation for all levels of analytical use</li><li>Leverage many technologies and methodologies as required-includes scripting and programming languages</li><li>Assist in the preparation, deployment, and maintenance of machine learning/artificial intelligence data pipelines</li><li>Work with vendors and consultants as appropriate.</li><li>Applies lean thinking and tools to identify and eliminate waste in all areas of the position</li></ul> YOU MUST HAVE <ul><li>Bachelor's degree in applicable field</li><li>3+ years' experience in: Applied SQL development, Data warehousing/analytics, and Data engineering/equivalency</li><li>1+ years of IBM Cloud experience or equivalent IBM certification<ul><li>Db2 Warehouse</li><li>Cloud Pak for Data</li><li>Watsonx platform(s)</li></ul></li><li>Proficient in object-oriented concepts with experience in Python, Java, or C#</li><li>Effective interpersonal skills, with positive professional verbal and written skills</li></ul> YOU MAY ALSO HAVE <ul><li>Bachelor's degree in Business Analytics, Computer Science, Mathematics, Statistics, or related field</li><li>IBM Data Engineer certification</li><li>Ability to work independently as well as within a team environment</li><li>Effective project management and planning skills</li></ul> ROLE SPECIFICS <ul><li>Travel - Occasional overnight travel 1-3 nights per quarter for company meetings. Must have ability to travel independently as needed, without restriction by all modes of transportation, including car, plane, or train.</li><li>Schedule - ability to work flexible hours; may include evening & weekend hours as needed</li></ul> WHO WE ARE Dot Foods makes products more accessible and affordable to the food industry. We add efficiency to the supply chain and build strong partnerships with distributors, suppliers, and operators. Our company was created on a foundation of respect and dependability. People who are open to input, ask questions, embrace diversity, and seek innovative solutions thrive here. WHAT DOT CAN OFFER YOU As a family-owned and-operated company since 1960, Dot Foods has created a strong family culture. We make everyone feel included and respected. In addition to an inclusive working environment, we will provide you with: <ul><li>Competitive compensation package, including bonuses for successful performance</li><li>Extensive benefits including medical, dental, 401k, and profit-sharing</li><li>Significant advancement opportunities</li></ul> Safety: This position assumes responsibility for the workplace safety of self and co-workers, and for the safety conditions of the work locations, exercise and promotes safe behaviors and show unyielding support of programs, rules, and policies regarding safety. EOE/AA Employer: Dot believes all persons are entitled to equal employment opportunities. Dot will not discriminate against its employees or applicants for employment because of sex, race, color, religion, national origin, age, sexual orientation, disability, or veteran status or other basic classes protected by applicable federal or state law provided they are qualified for employment or for existing positions. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

About Lumen Lumen connects the world. We are igniting business growth by connecting people, data and applications quickly, securely, and effortlessly. Together, we are building a culture and company from the people up committed to teamwork, trust and transparency. People power progress. Lumens commitment to workplace inclusion and employee support shines bright. Weve made the Newsweek 2024 Greatest Workplaces for Diversity list and achieved a perfect score of 100 on the Human Rights Campaign Corporate Equality Index (CEI) for the fifth consecutive year. Plus, were the top employer in the communications and telecom industry, ranking 12th overall across all industries in The American Opportunity Index. Were looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future. The Role If you're a student eager to explore the exciting world of digital innovation, Lumen is the perfect place for you. Lumen offers a fully immersive, 10-week summer internship program. Our interns demonstrate curiosity, innovation, and a passion for advancing technology. We believe that empowering our people and helping them reach their full potential is essential for the long-term success of both Lumen and our customers. Program dates: May 30 August 8, 2025. The Main Responsibilities Lumens Mass Markets organization is looking for a Data Engineer intern on our Applications Engineering team. The intern will be responsible for building machine learning models, developing data pipelines and creating innovating AI applications. Other responsibilities of intern will include: Supporting digital channel for mass markets customers Research AI solutions to reduce cost and improve customer experience Manage data pipelines What We Look For in a Candidate Program eligibility is contingent on the candidates commitment of the entire 10-week program. No exceptions will be made. Required qualifications Enrolled at a 4-year accredited college or university, rising senior or graduate level education status at the start of the internship Graduating August 2025 May 2027 Preferred fields include burt not limited to: Computer Science, Business Analytics, Data Science, Information Systems. Intern must be able to work 40 hours per week during the 10-week program (May 30 August 8, 2025) Proficiency and understanding of: MS Office Suite Excel and PowerPoint Python expertise Machine Learning frameworks ( TensorFlow, PyTorch, scikit-learn) models Python libraries ( NumPy, Pandas, Matplotlib, Seaborn etc) Cloud platforms like GCP React.Js Node.Js Preferred qualifications Analytical Skills: Ability to analyze and interpret data to provide actionable insights Experience with statistical analysis and data visualization tools is a plus. Attention to detail and a proactive approach to learning and development. Ability to translate technical information into non-technical terms Strong problem-solving abilities to identify and resolve issues related to data accuracy, report performance, and user requirements Eagerness to learn and adapt to new technologies and methodologies. Strong organization skills Ability to multitask while working in fast paced environment Compensation Internship compensation ranges depend on each individuals level of education, geographic location, and experience/qualifications aligned to the role. Hourly Based Pay Range: Min: $26.00/hour Max: $43.00/hour What to Expect Next After completion and submission of your application, you will be asked to participate in a virtual video interview. This on demand interview will be a way for Lumen to learn more about you and your experience as it aligns to the internship position. A separate email invitation will be sent to you (check your spam) within 6 hours of application. For continued consideration in the summer internship program, please ensure you complete the video interview within 5 business days of application. Application & Interview Timeline: October First Round Interviews with top, qualified candidates November - Interview panel with work team December - All Summer 2025 offers will be extended by end of month Requisition : 335207 Background Screening If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (https://jobs.lumen.com/global/en/faq) . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Employment Opportunities We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, protected statuses). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. Disclaimer The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. Salary Range Salary Min : 26 Salary Max : 43 This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. This position is eligible for either short-term incentives or sales compensation. Director and VP positions also are eligible for long-term incentive. To learn more about our bonus structure, you can view additional information here. (https://jobs.lumen.com/global/en/compensation-information) We're able to answer any additional questions you may have as you move through the selection process. As part of our comprehensive benefits package, Lumen offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing. You can learn more by clicking here. (https://centurylinkbenefits.com) Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name. Note: For union-represented postings, wage rates and ranges are governed by applicable collective bargaining agreement provisions. Application Deadline 10/31/2024

In this role, you will maintain our data warehouse, develop ETL processes, create production-ready software from prototypes, and other technical tasks. This is an opportunity to use a variety of technical skills and create new infrastructure, systems and software. From day one, you will be working with 10s of millions of rows of data which we expect to grow very quickly. You will report to the Director of RV Pricing Strategy as part of a team of analysts and data scientists. Responsibilities: <ul><li>Processing data from outside our organization and from third party data providers, making it readily accessible to the team.</li><li>Creating data warehouse infrastructure and implementing ETL processes to gather data from other enterprise systems and external sources.</li><li>Evaluating technical needs of the pricing team and designing and implementing infrastructure and technology to support their work.</li><li>Identifying, designing and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes.</li><li>Implementing best practice data management, version control and other best practices within the team.</li><li>Working closely with the pricing team to support their current technical needs and identify new technologies which will be valuable for the team and its mission.</li><li>Perform daily tasks to monitor technical infrastructure and processes and take corrective action as necessary.</li><li>Take on special projects as needed including data science tasks such as creating analytics and even machine learning projects.</li></ul> Technologies We Currently Use: <ul><li>Python and related software such as Jupyter, Anaconda, and VS Code</li><li>Docker</li><li>Kubernetes</li><li>Microsoft SQL Server</li><li>Snowflake</li><li>Microsoft Power BI</li><li>Microsoft Excel including Power Query and VBA</li></ul> Must Have Qualifications: <ul><li>Bachelor's degree in computer science, software development, data engineering, or closely related field.</li><li>1 - 3 years' experience including...<ul><li>Implementing data solutions including designing new databases and implementing data pipelines.</li><li>Database technology experience including writing SQL queries and CRUD routines.</li><li>Software development experience including creating software for non-technical end-users.</li></ul></li><li>Proficiency with Microsoft Office tools (Word, Excel, PowerPoint, Outlook).</li></ul><ul><li>Ability to maintain professional demeanor and strict confidentiality.</li><li>Ability to work independently to complete assigned tasks.</li></ul><ul><li>Must be diligent, organized, and extremely detail-oriented</li><li>Strong analytical and problem-solving skills</li></ul> Preferred Qualifications: <ul><li>Experience developing ETL pipelines and machine learning pipelines using Python.</li><li>Experience creating front-ends for SQL Server and Snowflake based data.</li><li>Experience with Microsoft analytical tools, including Power BI, Excel, VBA, and Power Query.</li></ul> **This position is hybrid out of our Lincolnshire, IL offices.** Pay Range: $89,565.00-$134,295.00 Annual In addition to competitive pay, we offer Paid Time Off, 401(k), an Employee Assistance Program, Good Sam Roadside Assistance, discounts, paid parental leave (if eligibility is met), Tuition Reimbursement (if eligibility is met), and on the job training opportunities. Full-time associates are offered a comprehensive benefit package including medical, dental, vision and more! Part-time associates are offered access to dental & vision coverage! For more information please visit: www.mycampingworldbenefits.com We are an equal employment opportunity employer. The Company's policy is not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, veteran or uniformed service-member status, genetic information, or any other basis protected by applicable federal, state, or local laws.

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