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

Undp Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Undp? The Undp Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Undp Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Undp.</li>
<li>Practice real Undp 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 Undp Data Engineer interview.


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

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

Overview

Undp 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.

Undp Data Engineer Interview Process

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 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

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

Undp Data Engineer Interview Questions

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services Citis Functions Technology is responsible for delivering Technology solutions to Citi's Functions organizations. Functions Technology mission is to optimize Citi's Technology environment by delivering world class applications, driving standardization of the production environment, reducing complexity, optimizing management of systems supporting global functions such as Compliance, Controls, Internal Audit and Risk, and introducing innovative technologies that provide new business capabilities, reduce the technology total cost of ownership, and create a competitive advantage for Citi. **The Role** We are looking for a hands-on Principal Data Engineer who is passionate about solving business problems through innovation and engineering practices. As a Principal Data Engineer, you will leverage your deep technical knowledge to drive the creation of high-quality software products. You will also be expected to mentor other engineers, share your technical expertise, and promote a culture of technical excellence within the team. The Principal Data Engineer will report to the Head of Engineering for AML Monitoring and will be a contribute to one of 40 engineering teams in the AML space. There is an expectation to contribute to the codebase and deliver solutions against the sprint-level commitments. **Responsibilities** + **Code contributing** member of multiple Agile teams, working to deliver sprint goals. + Demonstrating **deep technical knowledge** and expertise in software development, including programming languages, frameworks, and best practices. Providing guidance and mentorship to junior team members + Actively contributes to the implementation of critical features and complex technical solutions. Write clean, efficient, and maintainable code that meets the **highest standards of quality.** + Collaborate with other Principal Engineers to define and evolve the overall system architecture and design. + Provide guidance on scalable, robust, and efficient solutions that align with business requirements and industry best practices. + Offer expert engineering guidance and support to multiple teams, helping them overcome technical challenges, make informed decisions, and deliver high-quality software solutions. Foster a **culture of technical excellence and continuous improvement.** + Stay up to date with emerging technologies, tools, and industry trends. Evaluate their potential impact on the organization and provide recommendations for technology adoption and innovation. **Required Qualifications** + 10+ years experience of implementing data-intensive solutions using agile methodologies. + Proficient in one or more programming languages commonly used in data engineering such as **Python, Java, or Scala.** + Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.) + Strong proficiency in working with relational databases and using SQL for data querying, transformation, and manipulation. + Clear understanding of Data Structures and Object Oriented Principles. + Experience of modeling data for analytical consumers + Ability to automate and streamline the build, test and deployment of data pipelines. + Experience with **Hadoop** for data storage and processing is valuable, as is exposure to modern data platforms such as **Snowflake** and **Databricks** . + Multiple years of experience architecting and building horizontally scalable, highly available, highly resilient, and low latency applications + Multiple years of experience with **Cloud-native development** and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.). + Proven experience of providing technical vision and guidance to a data team. + Thrives in a dynamic environment, capable of managing multiple tasks simultaneously while maintaining a high standard of work. **Preferred Qualifications** + Familiarity with open-source data engineering tools and frameworks (e.g. **Spark, Kafka,** Beam, Flink, Trino, Airflow, DBT) is a valuable asset + Exposure to a range of table and file formats including Iceberg, **Hive** , Avro, Parquet and JSON + Experience in cloud native technologies and patterns ( **AWS** , Google Cloud) + Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation, etc.) + Experience of driving and/or influencing the data strategy of your team or organization **Education** + BA/BS degree or equivalent work experience ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Digital Software Engineering ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Primary Location:** Tampa Florida United States ------------------------------------------------------ **Primary Location Full Time Salary Range:** $170,000.00 - $300,000.00 In addition to salary, Citis offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ **Anticipated Posting Close Date:** Oct 11, 2024 ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review **Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)** . View the "EEO is the Law (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/eeopost.pdf) " poster. View the EEO is the Law Supplement (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) . View the EEO Policy Statement (http://citi.com/citi/diversity/assets/pdf/eeo_aa_policy.pdf) . View the Pay Transparency Posting (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf)Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

ResQ was founded with the belief that restaurant operators and service providers should have a much better way to operate their businesses. As a first step towards our mission, we have built a SaaS-enabled marketplace that helps fast-growing restaurants manage their repairs and maintenance, empowering them to focus on their customers. Repair and maintenance is the heartbeat of any restaurant's operations, yet the existing management methods are complex, expensive, and time-consuming. With ResQ, restaurants can simply get connected to qualified service providers, submit jobs, track progress, and pay, all in one place. We are trusted by the world's leading restaurant brands and are venture-backed by top-tier global VCs - and we are just getting started! Hello Future ResQer! ResQ is looking for a Data Engineering to join our Engineering team and help us take ResQ to the next level . As a Data Engineer joining ResQ, you will play a pivotal role in driving the strategic direction of our product line. You'll generate actionable insights and maintain reliable, scalable data pipelines that support data-driven decision-making across teams. Your expertise will be crucial in guiding the product development organization to collect data for analysis and experimentation. We understand that joining a team is one of the most important choices you make, and adding a team member is one of the most important choices we'll make. We want you to get to know us, and we want to understand how you approach problems, learn, and what motivates you. What you will do: <ul><li>Build and Maintain Data Pipelines: Design, develop, and optimize ETL pipelines using tools like Airflow or similar workflow orchestration systems. Ensure data reliability and efficiency for downstream analytics and reporting needs.</li><li>Data Modeling and Transformation: Implement and maintain data models in DBT (or similar), ensuring data consistency, quality, and readiness for analysis. Develop and manage transformation workflows to support scalable data warehousing.</li><li>Data Warehousing and Storage: Work within cloud data warehouses (such as Google BigQuery) to ensure optimized data storage and retrieval. Develop best practices for data warehousing, focusing on cost efficiency and performance.</li><li>Collaboration and Support: Partner with data analysts, product teams, and stakeholders to understand data requirements and translate them into technical solutions.Provide guidance and support for data-driven projects, ensuring the right data is available for business insights.</li><li>Monitoring and Optimization:Implement monitoring tools to ensure data quality and pipeline health, proactively troubleshooting issues. Continuously optimize data processes for efficiency, scalability, and cost-effectiveness.</li><li>Documentation and Best Practices: Document data processes, models, and workflows to ensure clarity and transfer of knowledge within the team. Promote best practices in data engineering and data governance.</li></ul> Who You Are: <ul><li>Bachelor's degree in Computer Science, or a related field, or equivalent experience.</li><li>3+ years of experience in data engineering or a related role within a tech environment.</li><li>Proficiency in data technologies such as SQL and DBT, and in programming in Python.</li><li>Proficiency in SQL, Python, and cloud-based data warehousing tools; familiarity with DBT, Airflow, and BigQuery (or similar).</li><li>Proven experience in working with cross-functional teams and presenting data-driven recommendations to senior stakeholders.</li><li>Strong understanding of product development processes.</li><li>Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.</li></ul> Nice To Haves: <ul><li>Knowledge of machine learning and inference, including data mining.</li><li>Experience with dashboarding tools such as and Looker (or other BI tool)</li></ul> How you will do it: <ul><li>A self-starter: You wake up, form a plan, and get going!</li><li>Practice Extreme Ownership - including exhibiting a bias for action, a deep desire to understand all parts of our business, including our customers, and partners; taking risks, adapting and learning till you succeed; a mindset to persevere!</li><li>Be open to feedback; listen, learn, and iterate. We're all One Team!</li></ul> What to expect as a candidate: While we are never perfect, we have aimed to build a process that fosters fairness and helps to minimize bias, this includes structured processes and interviews. Our goal is that everyone interviewed has a positive experience, regardless of the outcome. Stage 1.: Send us your resume and a note about how your story connects to ours. Feel free to focus on what you have learned rather than just a list of responsibilities. Tell us your story! We'll aim to tell you quickly if it is not the right fit so you are always informed. Stage 2.: Successful candidates will meet with our Talent lead. It will be standardized to keep things fair but also with enough room to show your uniqueness. We'll communicate the salary range now for full transparency. If you like us and we also think there is a fit, we'll invite you to the next stage. Stage 3.: A call with our Co-Founder/Head of Engineering who will ask you more in depth questions about your experience and skills. Come with questions! Stage 4.: This stage will be an opportunity to meet a member of our Data team. This will be a great opportunity for you to get a glimpse into your day to day at ResQ and understand the different projects you may work on. Stage 5.: This round will be a technical case study interview, this will be a panel style interview and will include a few members from our engineering team. Stage 6.: This is the final stage in the process where you will meet our CEO, KJ. This stage will be more of an introductory call and less focused on your in depth skills and knowledge. KJ will share with you more about ResQ's vision and mission. He will also ask you some more questions and he will, of course, be able to answer any additional questions you might have. Want to learn more? Keep Reading! We are a mission-driven team and have a big vision to revolutionize the service industry. While on that journey, we recognize that building a startup is very hard. Turning vision into reality in a fast-growing environment takes superhuman efforts and is often one of the most difficult, yet rewarding, things one can do. We do our best to ensure transparency during all stages of the interview process but we realize it's a lot of information to take in at once so we wanted to centralize everything to make it easier for you to navigate through. We have created a Talent Notion page which will help you learn more about us during the recruitment process. We are spilling the Tea on all things ResQ, click hereif you want access to the inside scoop Tell your friends, because sharing is caring ResQ strongly believes that diversity of experience, perspectives, and background will result in a better environment for our employees and a better product for our users. ResQ is an equal opportunity employer. We do not discriminate against applicants based on race, colour, religion, sex, national origin, or disability, or any other status or condition protected by Ontario or local law. ResQ is committed to workplace diversity and will provide accommodation to applicants with disabilities throughout the hiring process. Not Sure You Meet all the Requirements? We know the confidence gap can get in the way of meeting spectacular candidates, so please don't hesitate to apply - we'd love to hear from you!

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. Job Title: Data Engineer Department: Information Technology Business Unit: KSE Location: Denver, CO Reports To: Director, Cloud Technologies Employment Type: Full Time - Salaried - Exempt Supervisor Position: No Kroenke Sports & Entertainment (KSE) is an American Sports and Entertainment holding company based in Denver, Colorado. KSE is committed to providing world class sports and entertainment for both live and broadcast audiences. We are the employer of choice as the owner and operator of Ball Arena, DICK'S Sporting Goods Park, the Paramount Theatre, Denver Nuggets (NBA), the Colorado Avalanche (NHL), Colorado Mammoth (NLL), Colorado Rapids (MLS), Altitude Sports & Entertainment, Major League Fishing/Fishing League Worldwide (MLFLW), Winnercomm, Outdoor Sportsman Group and SkyCam. Nature of Work: Develop and maintain technology infrastructure and processes for data collection, storage, reporting, and analysis. Examples of work performed: <ul><li>Creates and maintains data infrastructure to include databases, data lakes, and data warehouses.</li><li>Develops and maintains business processes to acquire, transform, store, optimize, and extract data from a wide variety of sources.</li><li>Adopts methodologies to ensure data quality, efficiency, and reliability.</li><li>Maintains security and compliance initiatives for data.</li><li>Documents all processes and technologies for data operations.</li><li>Participates in and ensures compliance with all data governance activities to include security, privacy, quality, and retention.</li><li>Works collaboratively with other employees involved in the reporting, analysis, and auditing functions for data.</li><li>Researches and troubleshoots deviations from normal operations.</li><li>Provides cost efficiencies related to storage mechanisms and toolsets for data operations. </li></ul> This description is a summary only and describes the general level of work being performed, it is not intended to be all-inclusive. The duties of this position may change from time to time and/or based on business needs. We reserve the right to add or delete duties and responsibilities at the discretion of the supervisor and/or hiring authority. Working Conditions & Physical Demands: <ul><li>Typical Office Conditions</li><li>Lift 50 lbs. daily</li><li>Work in extreme weather conditions</li><li>Must live within 30 miles of Denver</li></ul> Qualifications Minimum <ul><li>3 years of experience working in a professional capacity with responsibility for data operations (to include any of the following: data engineering, database management, ETL/ELT, data warehousing, data management).</li><li>Advanced understanding of set theory and proficiency in data design/modeling.</li><li>Experience with database architecture and data warehouse design.</li><li>Experience with developing cost-effective data storage strategies.</li><li>Strong SQL skills including TSQL, stored procedures, functions, views, and table design.</li><li>Proficiency with data programming languages such as Python.</li><li>Demonstrated success with data project implementations.</li><li>Ability to work collaboratively with business analysts, project managers, cloud architects, data analysts, and auditors.</li><li>Applicants must meet minimum qualifications at the time of hire.</li><li>Bachelor's degree in Computer Science, Data Science, Information Systems, Accounting, Finance, or similar.</li><li>Preferred</li><li>Master's degree in computer science, Data Science, Information Systems, Accounting, Finance, or similar</li></ul> Competencies/Knowledge, Skills & Abilities <ul><li>Ability to maintain positive attitude and demonstrate professionalism</li><li>Ability to maintain a high level of confidentiality</li><li>Ability to complete work accurately and in a timely manner</li><li>Ability to work independently & in a group setting and demonstrate good judgment skills</li><li>Ability to communicate effectively orally and in writing</li><li>Possesses excellent interpersonal skills</li><li>Ability to multi-task, prioritize and adapt to changing environments</li></ul> Compensation <ul><li>$75,000 to $95,000 </li></ul> Benefits Include <ul><li>12 Paid Company Holidays</li><li>Health Insurance (Medical, Dental, Vision)</li><li>Paid Time Off (PTO)</li><li>Life Insurance</li><li>Short and Long-term Disability</li><li>Health Savings Account (HSA) </li><li>Flexible Spending plans (FSAs) </li><li>401K plan </li></ul> Equal Employment Opportunity Kroenke Sports & Entertainment (KSE) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Intrepid sets the standard for delivering excellence in the federal marketplace and is known for treating employees like family. We provide our employees with a challenging and supportive work environment, paired with a competitive salary and an industry-leading 401k contribution. We are looking for a Senior Data Engineer to join our team in supporting the PA&E. Your day-to-day work will include: <ul> <li>Providing data organization and accessibility to enable analysis in support of the Army's annual POM development and defense. <ul> <li>This includes but is not limited to developing digital data structures and supporting data visualization tool development in support of POM planning, POM build, and Program budget review.</li> </ul> </li> <li>Serving as the senior data engineer providing data structures and synchronization to bolster data storage and usage to enable development of the Program Objective Memorandum.</li> <li>Developing space and structure for data science applications that address specific organizational needs, such as improving insights into programs, optimizing operations within the directorate, or enhancing decision-making processes.</li></ul> At a minimum you should have the following: <ul> <li>An active SECRET security clearance and the ability to maintain.</li> <li>A bachelor's degree in a non-STEM field and 5-10 years of relevant experience.</li> <li>Programming experience in R or Python with a specific emphasis on data analysis frameworks (Pandas, NumPy, Tidyverse).</li> <li>Programming experience in data visualization frameworks (Shiny, Streamlit, Dash, Plotly, ggplot2) and SQL databases (Postgres, Oracle).</li></ul> *All employees may be called upon to provide their knowledge and/or expertise to proposal efforts including contract re-competes. **This job description is subject to change at any time. Work Type: On-Site (National Capitol Region) Estimated Salary: $95,000 - $120,000 The provided salary range serves as a broad reference. However, Intrepid takes various factors into account when establishing base salary offers, including the position's scope and responsibilities, as well as the candidate's experience, education, skills, and prevailing market conditions.??????? Work/Life at Intrepid Wondering what it's like to work here? Let us give you a glimpse of our exceptional workplace culture. Our employees have consistently nominated us for the Best Places to Work award and we take pride in our family-like environment, remarkable benefits, and go-the-extra-mile attitude. The Hours We sincerely value work-life balance. Our flexible-hours policy allows you to balance extra time during significant projects with days that are lighter. Moreover, we offer generous accrual of paid personal leave that doesn't lose its value (no use it or lose it here!) as well as 11 paid holidays per year. The Benefits Our benefits are renowned, starting with our outstanding 401k program. No match required! We contribute 14% of your bi-weekly pay to your account regardless of your contribution. With our low-fee index funds from Fidelity, your retirement savings will grow substantially. Plus, your professional financial advisors are already covered! Our top-notch health insurance plan through Blue Cross Blue Shield includes low deductibles ($200/year) and is mostly covered by Intrepid, or you can choose a high-deductible plan with an eligible HSA, the choice is yours! We also provide complimentary life insurance, affordable dental, vision, disability, critical illness, and pet insurance. Additionally, you can set aside pre-tax dollars for medical and dependent care expenses through an FSA. We even offer a $1000 scholarship for newborn or adopted children, as well as those enrolled in higher education. The Perks Enjoy typical perks like corporate discounts as well as unique experiences as an Intrepid employee. You'll be a VIP at our annual events, including the Chili Cook-Off, Thanksgiving Lunch & Lawn Games, Ice-Cream Social, Intrepig BBQ, and the grand end-of-year Christmas bash with amazing prizes! Remote workers have special virtual engagement opportunities and exclusive events so no one is left out of the fun. Give Back Giving back is ingrained in our values. Through our employee-managed charitable fund, the Intrepid Ideal Community Fund (ICF), we contribute tens of thousands of dollars each year to organizations that help people in need. Join us in various volunteer opportunities and help us make a difference in our communities. Our vision is to one day create ideal communities where every citizen's needs are met. Join Us! There's something for everyone at Intrepid. If our benefits, perks, values, and mission resonate with you, we're thrilled to meet you! Start your journey as an Intrepid employee by applying today. We can't wait to hear from you! About Intrepid: Intrepid is a VEVRAA Federal Contractor and an Equal Opportunity Employer, committed to making employment decisions based on merit and value. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #CJ

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer. Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations. If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer! Position Summary: Join the LA Galaxy's Technology and Data team as a Senior Data Engineer and fulfill a critical position in sports business innovation. In this role, you will work across all LA Galaxy and DHSP departments with support and infrastructure provided by the LA Kings and AEG Sports operations. This role will implement, maintain, and enhance data solutions (data warehouse, ETL processes, custom-built software, web applications) that help create business strategies and new revenue streams, improve business operations, and elevate fan experience. Work closely with Senior Data Analyst and Senior Director of Analytics and Research to get all data usable and current. Liaise with third parties to manage and link data between CDP, app function and performance, marketing performance, and more. Essential Functions: <ul><li>Engineer, develop, manage, and monitor ETL (Extract, Transform, and Load) and data pipeline tasks using available tools as required to consume new sources of data into the respective data environments.</li><li>Lead the development of data models and provide guidance for optimizations and improvements to improve performance of data infrastructure and related products.</li><li>Perform code reviews for other data engineers within AEG Global Technology. Reviews involve reading and testing code, reporting back areas for improvement or glaring bugs.</li><li>Monitor and remediate data quality issues within AEG sports data warehouses.</li><li>Design and implement automated custom data visualizations that allow non-technical users to grasp very technical concepts.</li><li>Implement new statistical, or machine learning, models and maintain existing models, used in all facets of player acquisition and game play.</li><li>Attend team huddles within AEG Sports where team members collaborate on status, techniques, and upcoming projects.</li><li>Continuously improve knowledge and abilities in the areas of software and data engineering, statistical learning, and machine learning.</li></ul> Required Qualifications: <ul><li>BA/BS Degree (4-year) Mathematics, Computer Science, Statistics or Analytics</li><li>4-6 years Related work experience<ul><li>Demonstrable experience designing, developing, and deploying database structures and extracting data through SQL</li><li>Demonstrable experience on cloud platforms such as AWS, Azure, or GCP.</li><li>Preferred Qualifications: Experience in project management techniques, e.g. "Agile", and related software customarily used to manage development cycles</li><li>Demonstrable experience with RESTful API development is a plus.</li><li>Demonstrable experience building statistical models and machine learning models in Python or R is a plus.</li><li>Demonstrable experience building end-user applications, either web-based or mobile, using React, Angular, or Vue is a plus.</li></ul></li><li>2-4 year of relatable work experience<ul><li>Demonstrable experience with code collaboration software, e.g. git</li><li>Prior experience in LLM, NLP, or AI products is a plus.</li></ul></li><li>Strong communication skills, written and verbal</li><li>Strong work ethic and passion for technology</li><li>Capacity to understand asynchronous programming, and design code for speed and scale.</li><li>Collaborative skills, with an eye towards being a technical mentor to junior members of the team.</li><li>Familiarity with hockey and soccer is a plus</li></ul> Pay Scale: $120,000 - $130,000 AEG reserves the right to change or modify the employee's job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside his/her normal description.

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