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

Lazard Data Engineer Interview Guide

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


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

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

Overview

Lazard 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.

Lazard 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

Lazard Data Engineer Interview Questions

Region Americas Business Unit Asset Management Location New York Job Description Lazard is one of the world's leading financial advisory and asset management firms. Our people make the difference. With just over 3,000 employees, our tight-knit community allows for professionals eager to learn and willing to teach to connect and grow together. We believe that diversity, equity, inclusion, and allyship are not just business imperatives - they are central pillars of our employee experience. Our entrepreneurial culture and flat structure allow creative ideas and original concepts to drive our business forward - and for careers to take flight. We are looking for an experienced Equity Research Analyst for US Industrials to focus on Machinery, Construction, Building Products, Packaging, and Transportation. Teamwork is at the foundation of Lazard Asset Management. The team's disciplined process puts strong emphasis on primary research. The insight generated from the research process is communicated throughout the team and leveraged across LAM's portfolios. Stock picking is based on a disciplined relative valuation process. As an Analyst, our team approach will allow you to benefit from the insight of your peers while being responsible and accountable for your individual insight and contributions to the team and portfolios. We'll trust you to: <ul><li>Develop primary research sources among industry contacts, customers, suppliers and competitors of the companies you are researching</li><li>Conduct fundamental research and analyze the financials of the companies you cover</li><li>Build and maintain valuation models and comparable company analysis</li><li>Quantify the risk/reward and timeliness of investment ideas</li><li>Analyze sector, currency, political, and regulatory risks</li><li>Demonstrate passion for and distinguished knowledge of your sector</li></ul> You'll need to have: <ul><li>10-15 years' experience as an equity research analyst on the buy or sell sides</li><li>At least 7 years of experience covering Machinery, Construction, Building Products, Packaging, and Transportation names within US Industrials sector</li><li>Exceptional financial modeling and fundamental analysis abilities</li><li>A detailed, systematic and thematic approach to conducting research</li><li>Excellent interpersonal, communication and relationship-building skills</li><li>Expert understanding of the Industrials sector and its attributed risk factors and dependencies</li><li>Desire to improve and contribute to our Equity research platform</li></ul> What we offer We strive to enhance the total health and well-being of our employees through comprehensive, competitive benefits. Our goal is to offer a highly individualized employee experience that enables you to balance your commitments to career, family, and community. When you work for Lazard, you are working for an organization that cares about your unique talents and passions, and will continue to invest in the development of your career. We expect the base salary range for this role to be approximately 170,000 - 200,000 USD. Various factors contribute to determining the actual base compensation offered, including but not limited to the applicant's years of relevant experience, career tenure, qualifications, level of education attained, certifications or other professional licenses held, relevant skills for the role. Base salary is one component of Lazard Asset Management's compensation package, which also includes comprehensive benefits and may include incentive compensation. Does this sound like you? Apply! We'll get in touch on the next steps. Inclusion at Lazard Lazard is an intellectual capital business focused on delivering the best advice and solutions to clients. Achieving these objectives requires us to identify, develop and retain the best talent. A workforce comprised of people with varied backgrounds and experiences creates a rich diversity of thought that empowers us to challenge conventional wisdom, as diverse perspectives lead to better decisions. Our appreciation of diversity's strength is ingrained in our multicultural heritage. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respect for individual differences, which has been core to our success for 175 years. The ongoing cultivation of an inclusive culture are essential to our continued growth. We are committed to sustaining an environment in which all employees - regardless of socioeconomic status, race, ethnicity, nationality, religion, gender, gender expression, sexual orientation, physical abilities, veteran or military status - can maximize their individual potential, as well as our collective success. #LI-CH1

As a Data Engineer, you will play a key and multifaceted role within our dynamic team, collaborating directly with developers to drive innovation. Your responsibilities will include: <ul><li>Data Pipeline Development: Designing and building scalable, efficient systems for processing and analysing data generated by our plasma reactors.</li><li>Database Management: Overseeing database operations, ensuring performance optimization and uninterrupted functionality.</li><li>User Interface Design: Developing intuitive and visually appealing graphical interfaces to facilitate data visualization and interaction.</li><li>This role offers long-term growth potential, empowering you to shape your future within the company.</li></ul> Your Profile – Embrace Challenges and GrowWe’re looking for someone with: <ul><li>Proven experience in building and managing data workflows and pipelines.</li><li>Strong expertise in database management and optimization techniques.</li><li>A background in front-end development, with familiarity in modern frameworks like React, Angular, or Vue.js.</li><li>A Master’s degree or equivalent in computer science, information technology, or a related discipline; knowledge of measurement and control systems (MSR) is a plus.</li><li>A collaborative spirit, curiosity for interdisciplinary work, and enthusiasm for scientific challenges.</li><li>Exceptional communication skills and the ability to stay composed under pressure.</li><li>A proactive, solution-oriented mindset and eagerness to take on new challenges.</li><li>Fluency in English; German language skills are an added advantage.</li></ul> What We Offer – Shape the Future<ul><li>Accelerate your career in an innovative and mission-driven environment.</li><li>Contribute directly to addressing the global climate crisis.</li><li>Flexible working arrangements, including hybrid options.</li><li>High levels of autonomy and responsibility.</li><li>Access to state-of-the-art facilities and robust training programs.</li></ul>

Title:  Lead Data Engineer
Location:   Irving, TX 75039 (Hybrid)
Duration:  Direct Hire
Compensation:   $175K - $200K
Work Requirements:  US Citizen, GC Holders or Authorized to Work in the U.S.
Skillset / Experience:
We are seeking a highly skilled and experienced Lead Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, data warehousing, and cloud platforms. This role will involve leading the design and development of robust data pipelines, streaming ingestion frameworks, and scalable data architectures to support our data-driven initiatives. You will collaborate closely with cross-functional teams to ensure data integrity, availability, and accessibility across the organization.

Key Responsibilities:
Lead the design, development, and maintenance of scalable data pipelines, ETL/ELT processes, and data models.
Focus on Kafka, HDFS, HBase, Parquet, Spark, and Flink to ensure efficient data ingestion, storage, and processing.
Build and manage data ingestion frameworks using big data technologies, ensuring high efficiency and reliability.
Develop and optimize data storage solutions, including data warehousing, data lakes, and NoSQL databases on cloud platforms such as AWS, Azure, or Google Cloud.
Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions that meet those needs.
Ensure data quality, governance, and security through the implementation of best practices and robust monitoring systems.
Work with various data formats, including Parquet, Avro, and others, to ensure efficient data processing and storage.
Mentor and provide technical leadership to junior data engineers, fostering a culture of continuous learning and improvement.
Qualifications:      Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
3+ years of proven experience as a Data Engineer or in a similar role, with a strong focus on data warehousing, ETL/ELT processes, and data modeling.
Proficiency in programming languages such as Python, Java, or Scala.
Hands-on experience with big data technologies such as Kafka, Spark, HDFS, HBase, Flink, DBT, SQLMesh, etc.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong SQL skills and experience working with both relational and NoSQL databases.
Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Preferred Qualifications:      Experience with building and managing data pipelines in a multi-cloud environment.
Familiarity with data governance and data quality frameworks.
Experience in mentoring or leading a team of data engineers.

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

11 West 19th Street (22008), United States of America, New York, New York Lead Data Engineer 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 Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 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 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7 years of experience in application development including Python, SQL, Scala, or Java 4 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4 years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4 year experience working on real-time data and streaming applications 4 years of experience with NoSQL implementation (Mongo, Cassandra) 4 years of data warehousing experience (Redshift or Snowflake) 4 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, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer Illinois (Hybrid On-Site): $187,700 - $214,200 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodationcapitalone.com . 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 Careerscapitalone.com 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).

GCyber is seeking a  PowerBI Data Engineer  responsible for scripting, data extraction, correlation, and the development of custom automation workflows for a large Army customer. This role will focus on leveraging data from various cybersecurity tools (ACAS, HBSS, EDR) to develop and automate dashboards in Power BI. The ideal candidate will have strong programming skills to integrate data sources through APIs and automate reporting and alerting workflows.

*Due to the classification and nature of the work performed, this position will be full-time at the Government location.

As the  PowerBI Data Engineer,  you will:   Extract and correlate data from various cybersecurity tools such as ACAS/Tenable, HBSS/Trellix, MDE/EDR, and firewalls using APIs and custom scripts.
Develop custom Python/PowerShell scripts for real-time data ingestion from these tools into Power BI.
Develop and maintain API integrations to securely connect cybersecurity tools with Power BI.
Automate data collection and reporting using custom connectors for Power BI to gather data from security tools and generate dashboards in real time.
Design and build custom dashboards in Power BI to visualize key security metrics, including vulnerability management, compliance status, and POA&M tracking, with drill down capabilities for use by both Executive Leadership and information assurance analysts.
Support data analysis to provide insights into trends, gaps, and areas of improvement.
Produce periodic reports on key cybersecurity metrics, such as compliance adherence, incident trends, and risk assessments, using Power BI's reporting tools.
Minimum Qualifications and Experience:      Active DoD Active Secret Clearance
DoD 8570 IAT II Certification or higher (https://public.cyber.mil/cw/cwmp/dod-approved-8570-baseline-certifications)
3-5 years of data analytics experience for the DoD, specifically focused on data extraction, integration, and custom dashboard development.
Expertise in Python, PowerShell, or Bash for automating data extraction and processing.
Strong experience in Power BI dashboard development, including building custom visualizations, integrating APIs, and automating workflows.
Ability to develop and manage API integrations for real-time data flow between cybersecurity tools and Power BI.
Experience in Power Automate and similar tools for automating security operations and alerts.
Previous experience building compliance and vulnerability dashboards preferred.
GCyber is an Equal Opportunity Employer. This means you don't have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.
For future job notifications please follow GCyber on LinkedIn. https://linkedin.com/company/gcyber
Our Benefits

GCyber is committed to the well-being and development of every employee. Our benefits are designed to support your personal and professional goals, from health and wellness programs to retirement savings and career development opportunities. Highlights include:

26 Days of Paid Leave + Annual PTO Increase

An extra day of paid leave for every year of employment with GCyber

Paid Parental Leave

Additional Leave Allowances for Military Duty, Jury Duty, and Bereavement Leave

401(k) Matching

100% Company-funded Disability Insurance

90% Company-Funded Health, Dental, and Vision Insurance, with contributions to insurance benefits for spouses, children, and family members

Training and Professional Development Plans

Commuter Benefits Plan

Parking and Transportation Allowance

Equal Opportunity Employer

GCyber is an Equal Opportunity Employer. This means you don't have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.

Stay in Touch

For future job notifications please follow GCyber on LinkedIn. https://linkedin.com/company/gcyber

Plano 1 (31061), United States of America, Plano, Texas Sr. Data Engineer 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. 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, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 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, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodationcapitalone.com . 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 Careerscapitalone.com 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).

Bright Vision Technologies has an immediate contract opportunity for Lead Data Engineer in Encino, CA

Job Role: Lead Data Engineer
Job Location: Encino, CA
Job Type: Hybrid

Responsibilities
Design and develop data pipelines to manage how data flows between disparate systems
Build data pipelines to feed analytics use cases, KPI or enterprise apps.
Develop data quality metrics and performs QC tests (system and visual) to verify data integrity.
Interface with architects, product managers/SMEs and product analysts to understand data needs and support the implementation of the business rules into transformation.
Lead Data Engineer will be responsible for leveraging technologies such as Azure, Data Vault, Databricks, and GitHub, this role will focus on building robust data pipelines and workflows
Document the data blending process along with the specifications and workflow/data lineage.
Perform continuous integration to ensure that every step of the pipeline is testable and automated.
Communicating project status through Agile process and in Jira for the cross-functional team
Collaborate with the business to understand backlog and refine use cases related to data management, BI reporting and data science deliverables. Research source system data, architecture and transactions.
Takes lead to perform detailed design (the Physical Data Model and transformations), based on understanding of the Logical Data Model (the business requirements)
Create design documents for data integration or data reporting projects
Participate in design and code reviews, documentation of design, and implementation of methodologies to ensure high quality deployments
Develop new and improve existing processes to ensure service levels are being met
Analyze data integration problems, provide solutions and recommend corrective actions.
Analyze source system data structures and map them to target data warehouse schemas.
Must have excellent skills in requirements analysis, logical/physical modeling, data transformation and data modeling and technical governance design concepts.

Would you like to know more about this opportunity? For immediate consideration, please send your resume directly to  venkat.r@bvteck.com or contact us via phone at 732-298-7641.

At BVTeck, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.

Apex Informatics is seeking a dedicated and talented Data Engineer to enhance our growing team. In this vital role, you will be responsible for designing, constructing, and maintaining robust data systems that are essential for driving insights and decision-making across the organization. This position requires a blend of technical expertise and a proactive mindset to tackle complex data challenges.
As a Data Engineer, you will collaborate with stakeholders across various departments to gather data requirements and transform them into efficient data solutions. You will build and optimize data pipelines, ensure data quality, and facilitate the integration of diverse data sources into our big data platform.
If you thrive in a collaborative environment and have a passion for data architecture and engineering, we want you to join our innovative team!
Key Responsibilities     Design and implement scalable data pipelines and ETL processes for data ingestion and transformation
Collaborate with data scientists, analysts, and business teams to gather requirements and define data needs
Optimize data storage and retrieval processes for performance and efficiency
Conduct data cleansing and validation to ensure high data quality
Monitor and troubleshoot data pipelines and databases to maintain system integrity
Stay updated on the latest industry trends and technologies to continuously improve data processes
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field; advanced degrees are a plus
4+ years of experience in data engineering or related field
Proficient in programming languages such as Python, Java, or Scala
Experience with ETL tools and frameworks (e.g., Apache Spark, Talend, Informatica)
Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies
Knowledge of data warehousing concepts and practices
Excellent analytical and problem-solving skills
Strong communication skills and ability to work collaboratively in a team environment
Experience with data visualization tools (e.g., Power BI, Tableau) is an advantage

Overview Position Overview: In this role you will bean integral partofthe Data Engineering teamresponsible forbuildinghighquality,robust and scalable data platform environmentsand solutions to supportour data lake and data warehouse environments. Our team collaboratesclosely withotherengineering,analyticsand data scienceteamstoidentifyand implementoptimaldatasolutionsfortheWellframeplatform. About Wellframe: With Wellframe, we reimagine healthcare relationships througha new approachthat uses high-tech to deliver the high-touch support people need, when and where they need it. We call it Digital Health Management. Our comprehensive suite of Digital Health Management solutions for care management, advocacy, and navigation help organizations forge more meaningful connections with members, across their healthcare journey.Wellframewas founded to counter a pressing industry problem: the healthcare system has struggled to find ways to support people in between care settings, at scale. We believe health plans are in the best position to advocate for their members as they navigate their health andcare, butknow that technology alonecanthelp us achieve this ambition.Thatswhy our team of physicians, clinicians, public health experts, data scientists, engineers, and healthcare industry experts ensure our patented technology works in service of the person-to-person connections that make healthcare work best. The complete suite of solutions fromHealthEdgedelivers a digital foundation for payers specifically designed to fuel a digital transformation, reduce costs, and improve both clinical outcomes and the member experience. Your Impact: Translate technical stories into software solutions Create data processing pipelines and solutions toacquireandtransform data from various sources(structured,nonstructured) Ensure the reliability and efficiency of our data platform, object storage, and data warehouse environments. Create and refine backlog to translate business requirements into data solutions Create andvalidatetechnical designs with other engineers Communicate technical decisions effectively with relevant stakeholders Maintain a high standard for code quality for yourself and others on the team, including automated testing Take technical ownership in areas of a project where applicable, contributing to technical design, development, testing and on time delivery with high quality Debug and fix challenging production issuesto ensure data and platform availability Participate in on-call rotation to ensure exemplary uptime and reliability Work with customer support to triage, diagnose, and resolve bugs Identifyand lead process and technology improvements Identifyprocess,toolingand feature improvements to improve product quality and engineering productivity Contribute to the teams roadmap for implementing technical and process improvements What You Bring: BS or MS in Computer Science, ComputerEngineeringor closely related field At least3 years of experience with cloud-based environments like GCP, AWS, Azure At least3 years of experience writing object-oriented code with languages like Python Experience with pipeline orchestration tools like Apache Airflow,Airbyte,Dagster, or AWS Glue. Experience with cloud data warehouses likeBigQuery, Snowflake, or Redshift. Experience with relational/transactional databases such as PostgreSQL, MongoDB, or MySQL. Experience with event streaming systems like Kafka, Pub-Sub, or ActiveMQis preferred Understanding of large data processing systems likeDataBricks, Sparkis preferred Strong communicationand collaboration skills, comfortable explaining technical problemstoanon-technicalaudience. Excellent analytical abilities and problem-solving skills, with a strongcapacityto translate business requirements into effective data solutions. Possesses a keen eye foridentifyingdata patterns and a passion for continuous improvement, combined with a love for data and a flair for creativity Demonstrates a keen interest in understanding the products that the data supports, ensuring alignment between data insights and business objectives Accepts feedback graciously Strives not to commit the same mistake twice Staysup to dateon industry best practices andnew technologies Promotes quality through automated testing and other measures Strong senseof ownership Thrives on diverse technical challenges Passionate aboutleveragingtheir technical skills to help improve patient care Works effectively in a fast-paced, agile startup environment HealthEdge commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers. Geographic Responsibility: WhileHealthEdgeislocatedinBurlington, MA you may live anywhere in the US Type of Employment: Full-time, permanent Work Environment: 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: The employeeis occasionally required tomove around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work across multiple time zones in a hybrid or remote work environment. Long periodsof time sitting and/or standing in front of a computer using video technology. May require travel dependent on company needs. The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check. HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities. LI-Remote Job Locations US-Remote ID 2024-4955 Category Engineering Position Type Full-Time HealthEdge 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.

Crée en 2022, nous avons dès le départ eu une approche du conseil singulière, nous basant sur une relation de proximité avec nos clients, un très haut niveau de qualité et une pertinence inouïe dans nos recrutements et la construction de nos solutions. Cela nous a permis d’obtenir la confiance de nos clients et de nous positionner en partenaire clé pour nos clients. ???? Venez rejoindre notre équipe ! Chez Payenke, notre mission est de transformer les données en atouts stratégiques pour nos clients. Nous croyons fermement que l'exploitation intelligente des données et l'intégration de solutions d'IA sont essentielles pour réussir dans un environnement économique en constante évolution. Vous souhaitez rejoindre une équipe dynamique, nous sommes à la recherche d’un Data Engineer. Nos valeurs Persévérance : On ne lâche rien, les efforts paient toujoursVivacité : On est agile, réactif et fait le maximum pour nos clients et nos équipes.Bienveillance : On reste humain avant tout, on se respecte et on se soutient.Excellence : On s’améliore en continu, on identifie nos axes de progression pour élever le niveau global.Confiance : On dit ce qu’on fait, on fait ce qu’on dit. Description du poste : En tant que Data Engineer, vous serez responsable de la conception, de la mise en œuvre et de la gestion des pipelines de données sur Google Cloud Platform (GCP). Vous travaillerez en étroite collaboration avec les équipes de développement et d'analyse pour garantir l'intégrité et la disponibilité des données. Votre expertise en DevOps sera essentielle pour automatiser les processus et améliorer l'efficacité de nos opérations. ???? Responsabilités : - Concevoir et développer des pipelines de données robustes et évolutifs sur GCP.- Collaborer avec les équipes de développement pour intégrer des solutions de données dans les applications.- Mettre en œuvre des pratiques DevOps pour automatiser le déploiement et la gestion des infrastructures.- Assurer la qualité et la sécurité des données tout au long de leur cycle de vie.- Surveiller et optimiser les performances des systèmes de données.- Participer à la documentation des processus et des architectures de données. ???? Compétences requises : - Expérience avérée en tant que Data Engineer ou dans un rôle similaire.- Maîtrise de Google Cloud Platform (GCP) et des services associés (BigQuery, Dataflow, etc.).- Connaissance des pratiques DevOps et des outils associés (Docker, Kubernetes, CI/CD).- Compétences en programmation (Python, SQL, etc.).- Capacité à travailler en équipe et à communiquer efficacement.- Esprit d'analyse et résolution de problèmes. Qualifications : - Diplôme en informatique- 5 ans d'expérience dans un rôle similaire.- Certifications GCP est un plus-Expériences des outils Ops : Docker, Terraform, Gitlab-CI, Kubernetes … Ce que nous offrons :- Un environnement de travail collaboratif et stimulant.- Des opportunités de développement professionnel et de formation continue.- Un package salarial compétitif et des avantages attractifs. Comment postuler :Si vous êtes passionné par les données et que vous souhaitez rejoindre une équipe dynamique, envoyez votre CV à ibtissam.mouwakkat@payenke.fr avec l'objet "Candidature Data Engineer - GCP ". Nous avons hâte de vous rencontrer ! https://www.payenke.com/

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