analytics engineer

The Coca-Cola Company

<div>CPS (Commercial Products Supply) is a key part of the Advantaged Supply Chain of the Technical Function of The Coca-Cola Company. CPS manufactures concentrates and beverage bases for sale to bottling partners all over the world. This global organization manages a network of 19 manufacturing plants in 18 different countries along with 2 office locations (Atlanta &amp; Drogheda, Ireland). CPS also manages complex additional materials supply chains (e.g. juice, coffee, tea, milk, etc.) on behalf of bottling partners.
The Data Engineer will be responsible for the design, development, and operational excellence of the CPS data platform. This role focuses on hands-on development, technical execution, and cross-functional collaboration to build scalable, reliable, and secure data solutions that support data-driven decision-making across global plant operations and supply networks.
What You'll Do for Us<ul><li>
Serve as a technical leader and subject matter expert for data engineering solutions</li><li>
Design, develop, and optimize data pipelines using Azure Data Factory (ADF) and/or Fabric</li><li>
Design, build, and maintain scalable data pipelines, transformations, and data models using PySpark, SQL, and Python</li><li>
Define and enforce data engineering best practices, standards, and architectural patterns</li><li>
Partner with CPS stakeholders, plant teams, and analytics partners to translate business needs into technical solutions</li><li>
Participate in technical design reviews and mentor other engineers, providing guidance without direct people management</li><li>
Ensure data quality, reliability, monitoring, and performance of production data pipelines</li><li>
Support roadmap planning, estimation, and prioritization for data engineering initiatives</li></ul>
What You'll Need 
Functional Skills:<ul><li>
Strong proficiency in Python, SQL, and distributed data processing.</li><li>
Hands-on experience with Databricks, Snowflake, or any coding platform.</li><li>
Strong understanding of data warehousing concepts and analytical database design patterns</li><li>
Familiarity of job orchestration using tools such as Azure Data Factory (ADF), AWS Glue, etc.</li><li>
Solid understanding of data architecture, ETL/ELT design, and data modeling</li><li>
Experience with cloud-native data platforms, CI/CD, and DevOps practices</li><li>
Familiarity with web-based dashboards or lightweight web development is a plus</li><li>
Excellent critical thinking, analytical and problem-solving skills</li></ul>
Related Work Experience:<ul><li>
3+ years of experience in data engineering, analytics engineering, or software engineering</li><li>
Experience supporting data platforms for manufacturing, supply chain, or operations environments preferred</li><li>
Proven experience working with cloud-based data platforms, ideally Microsoft Azure</li></ul>
Education Requirements:<ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or a related technical field required</li><li>
Master&rsquo;s degree preferred</li></ul>
What We Can Do for You<ul><li>
Innovation &amp; Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.
</li><li>Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.
</li><li>Agile Work Environment: We embrace agile, with management that believes in removing barriers, so you are empowered to experiment, iterate, and innovate.</li></ul>
The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
Analytics, Azure Data Factory, Business Intelligence (BI), Data Architecture, Data Driven, Data Modeling, Microsoft Azure, organization, PySpark, Python (Programming Language), SQL Databases, Structured Query Language (SQL)
Pay Range:
$124,600 - $148,200
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:
15
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location(s):
United States of America
City/Cities:
Atlanta
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
April 7, 2026
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what&rsquo;s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors &ndash; curious, empowered, inclusive and agile &ndash; and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws. 
 
Annual Incentive Reference Value Percentage:15 
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.</div>

Data Engineer

FanDuel

<div>
 
 THE POSITION
 
 
 
 Our roster has an opening with your name on it
 
 
 We are looking for a
 
 Data Engineer
 
 to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you&rsquo;ll own the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.
 
 
 The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, independently executing on projects, and continuously learning in a fast-paced environment.
 
 
 If you&rsquo;re excited by this challenge and want to work within a dynamic company, then we&rsquo;d love to hear from you.
 
 
 In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
 
 
 
 THE GAME PLAN
 
 
 
 Everyone on our team has a part to play
 
 
 Build &amp; Maintain Data Pipelines
 
 
 <ul>
 <li>
 Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
 </li>
 <li>
 Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
 </li>
 <li>
 Ensure data is reliable, accurate, and delivered in a timely manner.
 </li>
 <li>
 Lead projects to build or improve well-scoped data products.
 
 
 
 </li>
 </ul>
 Collaborate Across Teams
 
 
 <ul>
 <li>
 Work with data analysts, data scientists, and product managers to understand and clarify ambiguous requirements to deliver actionable data solutions.
 </li>
 <li>
 Translate business questions into engineering tasks and contribute to technical planning.
 </li>
 <li>
 Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
 </li>
 <li>
 Contribute to team wide best practices.
 
 
 
 </li>
 </ul>
 Data Quality &amp; Operations
 
 
 <ul>
 <li>
 Monitor data pipelines and troubleshoot issues in a timely, systematic manner.
 </li>
 <li>
 Driving reliability and continuous improvement of data platforms and pipelines.
 </li>
 <li>
 Implement data quality checks and contribute to observability and testing practices.
 </li>
 <li>
 Document data sources, transformations, and architecture decisions to support long-term maintainability.
 
 
 
 </li>
 </ul>
 
 THE STATS
 
 
 
 What we're looking for in our next teammate
 
 
 <ul>
 <li>
 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
 </li>
 <li>
 Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
 </li>
 <li>
 Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
 </li>
 <li>
 Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
 </li>
 <li>
 Experience working with cloud-based data platforms (AWS, GCP, or Azure).
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience supporting BI, analytics, or data science teams.
 </li>
 <li>
 Familiarity with version control, CI/CD, and collaborative development workflows.
 </li>
 <li>
 Exposure to data governance, privacy, or compliance practices.
 </li>
 <li>
 Eagerness to learn new technologies and contribute to the growth of the team.
 
 
 
 </li>
 </ul>
 
 About Fanduel
 
 
 
 FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America&rsquo;s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry&rsquo;s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
 
 
 In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
 
 
 The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company&rsquo;s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
 
 
 FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
 
 
 
 Player Benefits
 
 
 
 We treat our team right
 
 
 We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO &amp; sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here:
 
 FanDuel Total Rewards
 
 . *Benefits differ across location, role, and level.
 
 
 FanDuel is an equal opportunities employer and we believe, as one of our principles states, &ldquo;We are One Team!&rdquo;. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
 
 
 
 
 The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
 
 
 
 
 
 
 FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
 
 
 
 
 
 
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
 
 
 
 
</div>

<div>THE POSITION 
Our roster has an opening with your name on it

We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you'll own the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.

The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, independently executing on projects, and continuously learning in a fast-paced environment.

If you're excited by this challenge and want to work within a dynamic company, then we'd love to hear from you.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. 

THE GAME PLAN 
Everyone on our team has a part to play

Build &amp; Maintain Data Pipelines
<ul>
<li>Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.</li>
<li>Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.</li>
<li>Ensure data is reliable, accurate, and delivered in a timely manner.</li>
<li>Lead projects to build or improve well-scoped data products.</li>
</ul>
Collaborate Across Teams
<ul>
<li>Work with data analysts, data scientists, and product managers to understand and clarify ambiguous requirements to deliver actionable data solutions.</li>
<li>Translate business questions into engineering tasks and contribute to technical planning.</li>
<li>Participate in code reviews, sprint planning, and retrospectives as part of an agile team.</li>
<li>Contribute to team wide best practices.</li>
</ul>
Data Quality &amp; Operations
<ul>
<li>Monitor data pipelines and troubleshoot issues in a timely, systematic manner.</li>
<li>Driving reliability and continuous improvement of data platforms and pipelines.</li>
<li>Implement data quality checks and contribute to observability and testing practices.</li>
<li>Document data sources, transformations, and architecture decisions to support long-term maintainability.</li></ul> 


THE STATS 
What we're looking for in our next teammate
<ul>
<li>3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.</li>
<li>Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).</li>
<li>Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.</li>
<li>Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.</li>
<li>Experience working with cloud-based data platforms (AWS, GCP, or Azure).</li></ul> 


Preferred Qualifications
<ul>
<li>Experience supporting BI, analytics, or data science teams.</li>
<li>Familiarity with version control, CI/CD, and collaborative development workflows.</li>
<li>Exposure to data governance, privacy, or compliance practices.</li>
<li>Eagerness to learn new technologies and contribute to the growth of the team.</li> 
</ul>
ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). 

PLAYER BENEFITS 
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO &amp; sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, &quot;We are One Team!&quot;. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. 

The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 


#LI-Hybrid</div>

<div>
 CPS (Commercial Products Supply) is a key part of the Advantaged Supply Chain of the Technical Function of The Coca-Cola Company. CPS manufactures concentrates and beverage bases for sale to bottling partners all over the world. This global organization manages a network of 19 manufacturing plants in 18 different countries along with 2 office locations (Atlanta &amp; Drogheda, Ireland). CPS also manages complex additional materials supply chains (e.g. juice, coffee, tea, milk, etc.) on behalf of bottling partners.
 
 
 
 The Data Engineer
 
 will be responsible for the design, development, and operational excellence of the CPS data platform. This role focuses on hands-on development, technical execution, and cross-functional collaboration to build scalable, reliable, and secure data solutions that support data-driven decision-making across global plant operations and supply networks.
 
 
 
 What You'll Do For Us
 
 
 
 <ul>
 <li>
 Serve as a technical leader and subject matter expert for data engineering solutions
 </li>
 <li>
 Design, develop, and optimize data pipelines using Azure Data Factory (ADF) and/or Fabric
 </li>
 <li>
 Design, build, and maintain scalable data pipelines, transformations, and data models using PySpark, SQL, and Python
 </li>
 <li>
 Define and enforce data engineering best practices, standards, and architectural patterns
 </li>
 <li>
 Partner with CPS stakeholders, plant teams, and analytics partners to translate business needs into technical solutions
 </li>
 <li>
 Participate in technical design reviews and mentor other engineers, providing guidance without direct people management
 </li>
 <li>
 Ensure data quality, reliability, monitoring, and performance of production data pipelines
 </li>
 <li>
 Support roadmap planning, estimation, and prioritization for data engineering initiatives
 
 
 </li>
 </ul>
 What You'll Need
 
 
 
 Functional Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python, SQL, and distributed data processing.
 </li>
 <li>
 Hands-on experience with Databricks, Snowflake, or any coding platform.
 </li>
 <li>
 Strong understanding of data warehousing concepts and analytical database design patterns
 </li>
 <li>
 Familiarity of job orchestration using tools such as Azure Data Factory (ADF), AWS Glue, etc.
 </li>
 <li>
 Solid understanding of data architecture, ETL/ELT design, and data modeling
 </li>
 <li>
 Experience with cloud-native data platforms, CI/CD, and DevOps practices
 </li>
 <li>
 Familiarity with web-based dashboards or lightweight web development is a plus
 </li>
 <li>
 Excellent critical thinking, analytical and problem-solving skills
 
 
 </li>
 </ul>
 
 Related Work Experience
 
 
 
 <ul>
 <li>
 3+ years of experience in data engineering, analytics engineering, or software engineering
 </li>
 <li>
 Experience supporting data platforms for manufacturing, supply chain, or operations environments preferred
 </li>
 <li>
 Proven experience working with cloud-based data platforms, ideally Microsoft Azure
 
 
 </li>
 </ul>
 
 Education Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related technical field required
 </li>
 <li>
 Master&rsquo;s degree preferred
 
 
 </li>
 </ul>
 
 What We Can Do For You
 
 
 
 <ul>
 <li>
 Innovation &amp; Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.
 </li>
 <li>
 Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.
 </li>
 <li>
 Agile Work Environment: We embrace agile, with management that believes in removing barriers, so you are empowered to experiment, iterate, and innovate.
 
 
 </li>
 </ul>
 The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
 
 
 Analytics, Azure Data Factory, Business Intelligence (BI), Data Architecture, Data Driven, Data Modeling, Microsoft Azure, organization, PySpark, Python (Programming Language), SQL Databases, Structured Query Language (SQL)
 
 
 
 Pay Range
 
 
 
 $124,600 - $148,200
 
 
 
 Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
 
 
 
 
 Annual Incentive Reference Value Percentage
 
 
 
 15
 
 
 
 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
 
 
 
 
 Location(s):
 
 
 
 United States of America
 
 
 
 City/Cities
 
 
 
 Atlanta
 
 
 
 Travel Required
 
 
 
 00% - 25%
 
 
 
 Relocation Provided:
 
 
 
 No
 
 
 
 Job Posting End Date
 
 
 
 April 7, 2026
 
 
 
 Our Purpose And Growth Culture
 
 
 
 We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what&rsquo;s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors &ndash; curious, empowered, inclusive and agile &ndash; and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.
 
 
 Annual Incentive Reference Value Percentage:15
 
 
 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
</div>

The Home Depot

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Strong background in Business Intelligence (BI) and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Data Scientist - GenBI

Greenlight Financial Technology

<div><div><div>Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family&rsquo;s future. Kids and teens learn to earn, save, spend wisely, and invest.</div>
<div></div>
<div>At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It&rsquo;s no small task, and that&rsquo;s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it.</div><div></div><div> 
Greenlight's internship is a paid program for current college students. Throughout the internship, you&rsquo;ll collaborate on thoughtful projects and bring your fresh perspectives to impact our product and families. We encourage you to make your mark here as you grow as a professional, broaden your network, learn new skills and live the Greenlight mission &mdash; to empower families to build financial strength, protect what matters most, and stay deeply connected&mdash;so they can thrive together in every stage of life.</div>
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<div>We are seeking a motivated and curious Data Engineering Intern to join our Data Platform team. This internship offers a unique opportunity to gain hands-on experience building and maintaining real data infrastructure within a fast-growing fintech environment. The ideal candidate will work alongside our data engineers to support the development of pipelines, data models, and infrastructure tooling &mdash; while learning industry best practices across the full data stack.</div></div><div><div><h3 class="jobSectionHeader">
What you will be doing:
</h3><div><div><div><ul><li>Assist in building and maintaining data pipelines using Airflow to orchestrate workflows that ingest, transform, and deliver data into Snowflake and Databricks</li>
<li>Support the design and implementation of data models in Snowflake that serve analytics, reporting, and ML use cases</li>
<li>Help develop and maintain transformation logic using dbt, including writing models, tests, and documentation</li>
<li>Contribute to data quality checks and validation processes to ensure accuracy, completeness, and timeliness of data</li>
<li>Assist with infrastructure automation using Terraform to manage cloud resources in AWS</li>
<li>Participate in troubleshooting data pipeline issues and investigating root causes alongside senior engineers</li>
<li>Collaborate with data analysts, analytics engineers, and business stakeholders to understand requirements and contribute to technical solutions</li>
<li>Help create and maintain documentation for data pipelines, data models, and infrastructure processes</li>
<li>Participate in code reviews to develop best practices and learn from the team</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader">What you should bring:
</h3><div><div><div><ul><li>A 3.0 GPA or higher</li>
<li>Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field</li>
<li>Basic understanding of SQL and comfort manipulating data</li>
<li>Interest in data engineering, data infrastructure, and/or analytics engineering</li>
<li>Familiarity with Python for scripting, data processing, or automation (preferred)</li>
<li>Basic understanding of cloud platforms, particularly AWS, is a plus</li>
<li>Strong analytical thinking and problem-solving skills &mdash; especially comfort working through ambiguity</li>
<li>Good communication and collaboration skills; able to work cross-functionally with technical and non-technical teammates</li>
<li>Eagerness to take ownership of your work and ask thoughtful questions</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader">Learning Opportunities:</h3><div><div><div>
<ul><li>You'll have the opportunity to gain experience with technologies including:
<ul><li>Snowflake</li>
<li>dbt (data build tool)</li>
<li>Apache Airflow</li>
<li>AWS (S3, Lambda, EC2, IAM)</li>
<li>Databricks</li>
<li>Terraform</li>
<li>Fivetran</li>
<li>Segment</li>
</ul></li><li>This internship provides an excellent foundation for a career in data engineering, analytics engineering, or data architecture within the fintech industry.</li>
</ul></div></div></div></div></div><div><div>Who we are:</div>
<div>It takes a special team to aim for a never-been-done-before mission like ours. We&rsquo;re looking for people who love working together because they know it makes us stronger, people who look to others and ask, &ldquo;How can I help?&rdquo; and then &ldquo;How can we make this even better?&rdquo; If you&rsquo;re ready to roll up your sleeves and help create a world where every child grows up to be happy and healthy in money and life, apply to join our team.</div>
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<div>Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law.</div>
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<div>Greenlight is committed to an inclusive work environment and interview experience. If you require reasonable accommodations to participate in our hiring process, please reach out to your recruiter directly or email accomodations@greenlight.me.</div>
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Data Engineering Intern Atlanta, GA

Travelers

<div>Who Are We?
Taking care of our customers, our communities and each other. That&rsquo;s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Compensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range
$139,400.00 - $230,000.00
Target Openings
1
What Is the Opportunity?
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. 
 
The Senior Data Engineer is a core contributor within the Travelers Data Engineering Chapter, operating across the DAVS BI domain. In this role, you will lead the design, development, and operationalization of enterprise-grade data pipelines that transform raw insurance and operational data into high-quality, analytics-ready assets, powering BI, Machine Learning, and AI initiatives across Travelers. 
 
As a Senior Engineer, you serve as a technical anchor within your engineering circle: mentoring peers, driving SDLC+ and engineering standards adoption, and partnering with business and data stakeholders to translate requirements into scalable, maintainable data solutions.
What Will You Do?<ul><li>
Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.</li><li>
Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.</li><li>
Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.</li><li>
Incorporate core data management competencies including data governance, data security and data quality.</li><li>
Act as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products/analytic environment.</li><li>
Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.</li><li>
Collaborate across team to support delivery and educate end users on complex data products/analytic environment.</li><li>
Perform other duties as assigned.
</li></ul>What Will Our Ideal Candidate Have?<ul><li>
Bachelor&rsquo;s Degree in STEM related field or equivalent.</li><li>
Ten years of related experience.</li><li>
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field</li><li>
Experience with insurance domain data (policy, claims, underwriting, billing)</li><li>
Knowledge of data governance frameworks and regulatory compliance (GDPR, CCPA, SOX)</li><li>
Cloud certifications: AWS Certified Data Analytics, Azure Data Engineer, or GCP Professional Data Engineer</li><li>
Experience with streaming data platforms (Kafka, Kinesis, Event Hubs)</li><li>
Familiarity with data quality tools (Great Expectations, Deequ, Monte Carlo)</li><li>
Contributions to open-source projects or technical community involvement</li><li>
Experience with Agile/Scrum methodologies</li><li>
Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.</li><li>
Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems.</li><li>
Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers.</li><li>
Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize.</li><li>
Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas.</li><li>
Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.</li></ul>
What is a Must Have?<ul><li>
Bachelor&rsquo;s degree in computer science, related STEM field, or its equivalent in education and/or work experience.</li><li>
6 additional years of data engineering experience.</li></ul>
What Is in It for You?<ul><li>
Health Insurance: Employees and their eligible family members &ndash; including spouses, domestic partners, and children &ndash; are eligible for coverage from the first day of employment.</li><li>
Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.</li><li>
Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.</li><li>
Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.</li><li>
Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.</li></ul>
Employment Practices
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.</div>

Senior Data Engineer

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Data Engineering Intern Atlanta, GA

Senior Data Engineer