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agentforce & data 360 support engineer Jobs in Atlanta

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ai/ml engineer atlanta (remote friendly) Jobs in Atlanta

ai/ml engineer atlanta (remote friendly)

application engineer

data pipeline engineer

Purchasing Power, LLC

<div><div><div><p>Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a FinTech holding company with more than 20 years of experience, we&rsquo;re focused on building simple, responsible financial solutions that put people first. PROG Holdings&rsquo; portfolio includes Progressive Leasing, a market leader in lease‑to‑own solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform &mdash; all united by a commitment to innovation, access, and meaningful impact.</p><p>
We&rsquo;re looking for a <b>Data Engineer </b>to support the development and operation of our enterprise data platform. This role is highly tactical and execution‑focused, contributing directly to the reliability, scalability, and performance of our AWS‑based data ecosystem.</p><p>
You&rsquo;ll work closely with the Senior Director of Data Engineering and platform team to design, build, and maintain streaming and batch data pipelines, supporting real‑time ingestion, transformation, and delivery into analytics and reporting systems. This is a great opportunity for someone who enjoys working in distributed systems and wants to have a direct impact on how data is delivered across the business.</p><p><b>
WHAT YOU&rsquo;LL WORK ON</b></p><p><b>
Data Pipeline Development</b></p><ul><li>
Develop and maintain streaming and batch data pipelines using Kafka, Spark, and related technologies</li><li>
Implement ingestion pipelines using Kafka Connect and CDC patterns</li><li>
Build transformation and enrichment processes using Spark and PySpark</li><li>
Ensure reliable data delivery to downstream platforms including Greenplum, Elastic, S3, and analytics tools</li></ul><p><b>
Streaming Platform Support</b></p><ul><li>
Support Kafka topic configuration, partitioning strategies, and consumer group management</li><li>
Assist with schema registration and schema evolution practices</li><li>
Troubleshoot streaming pipeline issues and optimize performance</li><li>
Help maintain data integrity and reliability across distributed systems</li></ul><p><b>
Data Processing &amp; Transformation</b></p><ul><li>
Implement business logic and transformations within Spark processing frameworks</li><li>
Develop and maintain Airflow DAGs (or equivalent orchestration workflows)</li><li>
Build lookup and enrichment logic for streaming and batch pipelines</li><li>
Ensure data quality through validation, monitoring, and alerting practices</li></ul><p><b>
Platform Operations</b></p><ul><li>
Monitor pipeline performance, failures, and data latency</li><li>
Assist with observability and monitoring using tools such as Elastic and Kibana</li><li>
Support incident resolution and root‑cause analysis for data pipeline issues</li><li>
Contribute to system performance tuning and platform optimization</li></ul><p><b>
Collaboration</b></p><ul><li>
Work closely with the Data Engineering Manager to implement platform architecture</li><li>
Partner with analytics and reporting teams to support BI and data delivery needs</li><li>
Assist with evolving platform integrations and modernization initiatives</li></ul><p></p><p><b><br>
WHAT YOU BRING</b></p><ul><li>
3&ndash;5+ years of experience in data engineering or distributed data systems</li><li>
Hands‑on experience building and maintaining pipelines using Spark / PySpark</li><li>
Experience working with Kafka or other streaming platforms</li><li>
Strong SQL skills and experience with data transformation</li><li>
Experience with data orchestration tools such as Apache Airflow</li><li>
Familiarity with AWS‑based data environments</li><li>
Strong troubleshooting and debugging skills for data pipelines</li><li>
Curiosity, adaptability, and comfort working in evolving technical environments</li><li><p>
AI‑enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve.</p></li></ul><p></p><p><b><br>
WHY THIS ROLE IS UNIQUE</b></p><ul><li>
We act with intensity, urgency, and a passion for supporting our customers and growing our business</li><li>
We hold ourselves accountable and approach challenges with a positive, &ldquo;can‑do&rdquo; mindset</li><li>
We deliver as one team, working with integrity, trust, transparency, and respect</li><li>
We believe diversity, authenticity, and curiosity make us better and fuel innovation</li><li>
We continuously ask: Is there a better way?</li></ul><p></p><p><b><br>
WHAT WE OFFER</b></p><ul><li>
Hybrid work model (Atlanta‑based)</li><li>
Comprehensive benefits: medical, dental, vision, company‑paid Basic Life &amp; AD&amp;D</li><li>
401(k) Retirement Plan</li><li>
Flexible Paid Time Off</li><li>
Career Development opportunities</li><li>
Employee Purchase Program</li></ul></div></div></div><p></p>

Data Engineer (Hybrid - Atlanta, GA)

Progressive Leasing

<div><div><b>Progressive Leasing </b>is a leading provider of in-store and e-commerce lease-to-own solutions. With more than 20 years in FinTech, we&rsquo;ve grown from start-up to industry leader by innovating, simplifying, and valuing people. We are a subsidiary of PROG Holdings (NYSE: PRG), a FinTech holding company with three business segments: Progressive Leasing, Purchasing Power (a leading employee purchase program for consumer products and services using payroll deduction), and Four, a Buy Now Pay Later (BNPL) platform.</div><div></div><div><br>
Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a FinTech holding company with more than 20 years of experience, we&rsquo;re focused on building simple, responsible financial solutions that put people first. PROG Holdings&rsquo; portfolio includes Progressive Leasing, a market leader in lease‑to‑own solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform &mdash; all united by a commitment to innovation, access, and meaningful impact.</div><div></div><div>
We&rsquo;re looking for a <b>Data Engineer</b><b> </b>to support the development and operation of our enterprise data platform. This role is highly tactical and execution‑focused, contributing directly to the reliability, scalability, and performance of our AWS‑based data ecosystem.</div><div></div><div>
You&rsquo;ll work closely with the Senior Director of Data Engineering and platform team to design, build, and maintain streaming and batch data pipelines, supporting real‑time ingestion, transformation, and delivery into analytics and reporting systems. This is a great opportunity for someone who enjoys working in distributed systems and wants to have a direct impact on how data is delivered across the business.</div><div></div><div><b>
WHAT YOU&rsquo;LL WORK ON</b></div><div><b>
Data Pipeline Development</b></div><ul><li>
Develop and maintain streaming and batch data pipelines using Kafka, Spark, and related technologies</li><li>
Implement ingestion pipelines using Kafka Connect and CDC patterns</li><li>
Build transformation and enrichment processes using Spark and PySpark</li><li>
Ensure reliable data delivery to downstream platforms including Greenplum, Elastic, S3, and analytics tools</li></ul><div><b>
Streaming Platform Support</b></div><ul><li>
Support Kafka topic configuration, partitioning strategies, and consumer group management</li><li>
Assist with schema registration and schema evolution practices</li><li>
Troubleshoot streaming pipeline issues and optimize performance</li><li>
Help maintain data integrity and reliability across distributed systems</li></ul><div><b>
Data Processing &amp; Transformation</b></div><ul><li>
Implement business logic and transformations within Spark processing frameworks</li><li>
Develop and maintain Airflow DAGs (or equivalent orchestration workflows)</li><li>
Build lookup and enrichment logic for streaming and batch pipelines</li><li>
Ensure data quality through validation, monitoring, and alerting practices</li></ul><div><b>
Platform Operations</b></div><ul><li>
Monitor pipeline performance, failures, and data latency</li><li>
Assist with observability and monitoring using tools such as Elastic and Kibana</li><li>
Support incident resolution and root‑cause analysis for data pipeline issues</li><li>
Contribute to system performance tuning and platform optimization</li></ul><div><b>
Collaboration</b></div><ul><li>
Work closely with the Data Engineering Manager to implement platform architecture</li><li>
Partner with analytics and reporting teams to support BI and data delivery needs</li><li>
Assist with evolving platform integrations and modernization initiatives</li></ul><div></div><div><b>
WHAT YOU BRING</b></div><ul><li>
3&ndash;5+ years of experience in data engineering or distributed data systems</li><li>
Hands‑on experience building and maintaining pipelines using Spark / PySpark</li><li>
Experience working with Kafka or other streaming platforms</li><li>
Strong SQL skills and experience with data transformation</li><li>
Experience with data orchestration tools such as Apache Airflow</li><li>
Familiarity with AWS‑based data environments</li><li>
Strong troubleshooting and debugging skills for data pipelines</li><li>
Curiosity, adaptability, and comfort working in evolving technical environments</li><li><div>
AI‑enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve.</div></li></ul><div></div><div><b>
WHY THIS ROLE IS UNIQUE</b></div><ul><li>
We act with intensity, urgency, and a passion for supporting our customers and growing our business</li><li>
We hold ourselves accountable and approach challenges with a positive, &ldquo;can‑do&rdquo; mindset</li><li>
We deliver as one team, working with integrity, trust, transparency, and respect</li><li>
We believe diversity, authenticity, and curiosity make us better and fuel innovation</li><li>
We continuously ask: Is there a better way?</li></ul><div></div><div><b>
WHAT WE OFFER</b></div><ul><li>
Hybrid work model (Atlanta‑based)</li><li>
Comprehensive benefits: medical, dental, vision, company‑paid Basic Life &amp; AD&amp;D</li><li>
401(k) Retirement Plan</li><li>
Flexible Paid Time Off</li><li>
Career Development opportunities</li><li>
Employee Purchase Program</li></ul><div></div><div><i>
Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.</i></div></div>

Data Engineer - (Purchasing Power) | Hybrid - Atlanta, GA)

Travelers

<div><p><b>Who Are We?</b></p><p>
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.</p><p></p><p><b>
Compensation Overview</b></p><p>
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.</p><p></p><p><b>
Salary Range</b></p>
$109,300.00 - $180,200.00<p></p><p><b>
Target Openings</b></p>
1<p></p><p><b>
What Is the Opportunity?</b></p>
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate the stories found in data. 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. Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role.<p><b>
What Will You Do?</b></p><ul><li>
Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.</li><li>
Design data solutions.</li><li>
Analyze sources to determine value 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>
Collaborate within and across teams 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 moderate complexity and correct as appropriate.</li><li>
Test data movement, transformation code, and data components.</li><li>
Perform other duties as assigned.
</li></ul><p><b>What Will Our Ideal Candidate Have?</b></p><ul><li>
Bachelor&rsquo;s Degree in STEM related field or equivalent.</li><li>
Six years of related experience.</li><li>
Experience with ETL tools, including Talend, Informatica, and/or Ab Initio.</li><li>
1+ years of experience with Spark and/or PySpark (required).</li><li>
Proficiency in SQL across multiple platforms, including Oracle, Teradata, SQL Server, and/or PostgreSQL.</li><li>
Experience with cloud and data platforms such as AWS, Databricks, and Snowflake.</li><li>
Demonstrated ability to partner and collaborate effectively with technical stakeholders.</li><li>
Experience with ETL development in data lake and data warehouse (preferably Snowflake).</li><li>
Exhibited hands-on experience in building data pipelines and reusable components using AWS Services and PySpark, and Snowflake within the last two years.</li><li>
Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices.</li><li>
The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions.</li><li>
Strong verbal and written communication skills with the ability to interact with team members and business partners.</li></ul><p></p><p><b>
What is a Must Have?</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, related STEM field, or its equivalent in education and/or work experience.</li><li>
2 additional years of software/data engineering experience.</li></ul><p></p><p><b>
What Is in It for You?</b></p><ul><li><b>
Health Insurance</b>: 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><b>
Retirement:</b> 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><b>
Paid Time Off:</b> Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.</li><li><b>
Wellness Program:</b> 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><b>
Volunteer Encouragement:</b> 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><p></p><p><b>
Employment Practices</b></p><p>
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.
</p><p></p><p>In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.</p><p></p><p>
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.</p><p></p><p>
Travelers reserves the right to fill this position at a level above or below the level included in this posting.</p><p></p><p>
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.</p></div>

Data Engineer I (ETL, PySpark, SQL)

FanDuel

<div>
 <strong>
  THE POSITION
  <br/>
  <br/>
 </strong>
 Our roster has an opening with your name on it
 <br/>
 <br/>
 We are looking for a
 <strong>
  Data Engineer
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  THE GAME PLAN
  <br/>
  <br/>
 </strong>
 Everyone on our team has a part to play
 <br/>
 <br/>
 Build &amp; Maintain Data Pipelines
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Collaborate Across Teams
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Data Quality &amp; Operations
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  THE STATS
  <br/>
  <br/>
 </strong>
 What we're looking for in our next teammate
 <br/>
 <br/>
 <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).
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Fanduel
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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).
 <br/>
 <br/>
 <strong>
  Player Benefits
  <br/>
  <br/>
 </strong>
 We treat our team right
 <br/>
 <br/>
 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:
 <strong>
  FanDuel Total Rewards
 </strong>
 . *Benefits differ across location, role, and level.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  <em>
   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.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   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.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   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.
   <br/>
   <br/>
  </em>
 </strong>
</div>


Data Engineer

<div><p><b>THE POSITION</b><br>
Our roster has an opening with your name on it</p>
<p>
We are looking for a <b>Data Engineer</b> 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.</p>
<p>
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.</p>
<p>
If you're excited by this challenge and want to work within a dynamic company, then we'd love to hear from you.</p>
<p>
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.</p><br>
<p><b>
THE GAME PLAN</b><br>
Everyone on our team has a part to play</p>
<p>
Build &amp; Maintain Data Pipelines</p>
<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>
<p>Collaborate Across Teams</p>
<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>
<p>Data Quality &amp; Operations</p>
<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><br>
<p></p>
<p><b>
THE STATS</b><br>
What we're looking for in our next teammate</p>
<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><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<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><br>
</ul>
<p><b>ABOUT FANDUEL</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
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).</p><br>
<p><b>
PLAYER BENEFITS</b><br>
We treat our team right</p>
<p>
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: <b>FanDuel Total Rewards</b>. *Benefits differ across location, role, and level.</p>
<p>
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.</p><br>
<p><b><i>
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.</i></b></p>
<p><b><i>
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</i></b><b><i> </i></b><b><i>Benefits@fanduel.com</i></b><b><i>.</i></b></p>
<p><b><i>
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.</i></b></p><br>
<p></p>
<p>
#LI-Hybrid</p></div>

BlackRock

<div><div><div><div><div>Locations: <b>Atlanta, Georgia</b></div></div></div></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p><p><b>
About the Role</b></p><p>
BlackRock's Enterprise Data Platform (EDP) is the firm's strategic foundation for how data products are built, governed, and consumed at scale, powering investment decisions, risk analytics, and operational workflows across the firm and its global client base.</p><p>
Data Platform as a Service (DPaaS) is a core capability within EDP, purpose-built to make data product creation fast, reliable, and repeatable. Whether a team is onboarding a new market data feed, publishing a risk dataset, or operationalizing a model output, DPaaS provides the infrastructure, tooling, and guided experience to take a raw data source and turn it into a trusted, production-grade data product. Teams get acquisition, ingestion, transformation, quality validation, and governance without having to build any of it themselves.</p><p><b>
Why This Role is Exciting</b></p><p>
Most engineers either build platforms or use them. As a Forward Deploy Engineer on the DPaaS team, you do both.</p><p>
You will deploy by embedding directly with teams across the firm, bringing their data products to life and solving real problems that only surface when a platform meets production data. You will build by developing solutions that fill gaps and make it easier for teams to create and publish data products on EDP.</p><p>
You will be at the frontier of how BlackRock thinks about data products, working with real users, influencing what gets built next, and seeing your work in production quickly across a wide range of data domains.</p><p><b>
What You Will Do</b></p><p><b>
Forward Deployment &amp; Data Product Onboarding</b></p><ul><li>
Embed directly with partner engineering and data teams to drive end-to-end data product onboarding onto DPaaS, from source configuration through to production</li><li>
Work hands-on with teams to define data product structure including schema, ownership, SLAs, quality expectations, and governance attributes</li><li>
Support onboarding of both structured and unstructured data products, adapting approaches to fit the nature of the data</li><li>
Troubleshoot onboarding failures across infrastructure, pipeline, and data layers in real time</li><li>
Run technical onboarding sessions and workshops tailored to each team's data product needs</li><li>
Enable partner teams to self-serve on data product creation over time, reducing dependency on FDE support</li></ul><p><b>
Solution Development &amp; Platform Contribution</b></p><ul><li>
Develop reusable data product accelerators including pipeline templates, configuration generators, and schema mapping utilities</li><li>
Build custom acquisition connectors, ingestion templates, and transformation scaffolding for both structured and unstructured data</li><li>
Contribute to core DPaaS platform engineering efforts including new feature development and framework improvements</li><li>
Build and maintain data product accelerators and onboarding utilities that become reusable assets across the platform</li></ul><p><b>
Client Enablement</b></p><ul><li>
Act as a trusted technical advisor on data product design and onboarding best practices for partner engineering and data teams</li><li>
Run office hours, enablement sessions, and targeted training to help teams build platform confidence independently</li><li>
Translate partner-specific data requirements into platform-compatible data product configurations</li><li>
Document onboarding patterns, common failure modes, and solutions into reusable playbooks</li><li>
Capture and channel structured feedback from onboarding engagements into the DPaaS product and engineering roadmap</li></ul><p><b>
AI Assisted Development &amp; Intelligent Data Product Onboarding</b></p><ul><li>
Use AI assisted coding tools as a core part of daily workflow, accelerating configuration authoring, pipeline generation, and onboarding automation</li><li>
Build and contribute to AI assisted onboarding workflows leveraging schema inference, automated attribute mapping, and AI driven data profiling to reduce manual effort</li><li>
Implement emerging AI tooling including Model Context Protocol (MCP), AI agents, and Copilot extensions to automate repetitive onboarding tasks</li><li>
Define what AI native data product creation looks like on EDP, contributing patterns that shape the platform roadmap</li></ul><p><b>
Feedback Loop &amp; Platform Evolution</b></p><ul><li>
Translate real onboarding experiences into structured product feedback that drives platform improvements</li><li>
Work closely with DPaaS product, engineering, and infrastructure teams to close the loop between partner needs and platform capabilities</li><li>
Navigate and operate across the full DPaaS technology stack including structured and unstructured data pipelines, Azure Data Lake Storage, Snowflake, Kubernetes, and Vault</li><li>
Validate data product correctness and pipeline integrity across raw, staging, and curated data layers</li><li>
Support testing and validation of new platform capabilities before broader rollout</li></ul><p><b>
Required Qualifications</b></p><ul><li>
3+ years of data engineering or software engineering experience with a track record of shipping production-grade solutions</li><li>
Understanding of data product concepts including schema design, data ownership, SLAs, quality frameworks, and governance</li><li>
Experience working with both structured and unstructured data</li><li>
Strong proficiency in Python; working knowledge of Java or Go is a plus</li><li>
Experience with orchestration and pipeline tooling for structured data (e.g., Apache Airflow) and unstructured data processing frameworks</li><li>
Familiarity with the Azure ecosystem including Azure Data Lake Storage, Azure Blob Storage, Azure Data Factory, and Azure-native data services</li><li>
Working knowledge of Snowflake including ingestion patterns, database setup, roles, and basic query optimization</li><li>
Familiarity with Kubernetes, Helm, and cloud-native infrastructure on Azure</li><li>
Some experience working directly with client or partner engineering teams in a collaborative or client-facing capacity</li><li>
Active user of AI assisted development tools (GitHub Copilot, Cursor, Windsurf, or equivalent)</li><li>
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Prior exposure to a forward deploy, solutions engineering, or client-embedded engineering role</li><li>
Familiarity with financial data platforms or enterprise data ecosystems</li><li>
Experience with data governance, data cataloging, or metadata management platforms</li><li>
Exposure to dbt or data quality validation frameworks</li><li>
Hands-on experience with unstructured data processing including document parsing, embeddings, vector stores, or blob-based data pipelines</li><li>
Familiarity with LLM based tooling or AI agent frameworks (e.g., LangChain, MCP)</li><li>
Working knowledge of other cloud platforms (AWS, GCP) and their equivalent data services such as S3, Redshift, BigQuery, and Dataflow</li><li>
Experience with CI/CD pipelines and DevSecOps practices (Azure DevOps, ArgoCD)</li></ul>
For Atlanta, GA Only the salary range for this position is USD$120,000.00 - USD$148,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
<p><b>
Our benefits</b><br>
<br>
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p><p><b>
Our hybrid work model</b></p><p>
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><p><b>
About BlackRock</b></p><p>
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><p>
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><p>
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock</p><p></p><p>
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. <b>View the </b><b>EEOC&rsquo;s Know Your Rights poster and its supplement</b><b> and the </b><b>pay transparency statement</b><b>.</b></p><p>
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our <b>privacy policy</b>.</p>
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.</div>
<div><div><b>Job Requisition #</b>
<br>
R261637</div></div></div><p></p>

Forward Deploy Data Engineer-Associate

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><p><br>
We are looking for an<b> AI/ML Engineer</b> to join our AI team. The AI/ML Engineer designs, builds, and ships production Generative AI applications, AI agents, and ML systems for customer-facing and internal products. The role pairs deep expertise in large language models and agentic architectures with senior-level software engineering to deliver scalable, secure AI solutions. This engineer leads technical design of complex AI systems, drives cross-functional collaboration with product, platform, and security teams, and shapes the strategic direction of AI/ML capabilities across the organization.</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>
Your day-to-day:</b></h3><div><div><div>
<ul><li>Design, build, and deploy production AI agents and multi-agent orchestration systems with prompt engineering, LLM chaining, and tool-calling patterns for complex, multi-step workflows.</li>
<li>Architect RAG pipelines with vector search, hybrid retrieval, and knowledge base management for AI-driven question-answering and decision-support.</li>
<li>Integrate third-party AI platforms and LLM providers, designing authentication flows, tool schemas, and agent-to-backend communication.</li>
<li>Design AI agent security architectures including token exchange, delegated access, and user verification flows for systems acting on behalf of users.</li>
<li>Build production microservices and APIs (FastAPI, Flask, Node.js) serving as orchestration layers and tool endpoints for AI agent systems.</li>
<li>Architect authentication and authorization for AI services: identity provider integration, token validation, and service-to-service auth.</li>
<li>Deploy, monitor, and maintain ML models and AI agent endpoints on cloud platforms (Databricks, AWS SageMaker) including scaling and health management.</li>
<li>Build data ETL pipelines for feature engineering, transaction processing, and knowledge base ingestion.</li>
<li>Develop evaluation and monitoring frameworks for non-deterministic AI systems: agent correctness testing, retrieval quality, and alerting.</li>
<li>Author technical design docs, architecture diagrams, and API contracts; mentor junior and mid-level engineers on AI development practices.</li>
<li>Lead architecture reviews and produce design documents with implementation roadmaps; evaluate emerging AI technologies to inform team strategy.</li>
<li>Collaborate cross-functionally with product, platform, security, and operations to define requirements, prioritize features, and ship AI integrations end-to-end.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What you&rsquo;ll bring to the team:</b></h3><div><div><div>
<ul><li>Extensive experience building and deploying AI agents and Generative AI applications in production.</li>
<li>Deep knowledge of LLMs, agentic architectures, multi-agent systems, RAG, vector search, tool use/function calling, prompt engineering, and fine-tuning.</li>
<li>Hands-on experience with AI/ML frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.</li>
<li>Strong software engineering skills building production microservices and APIs in Python or JavaScript/TypeScript.</li>
<li>Experience designing auth systems for AI applications: OAuth, token-based access control, and delegated authorization.</li>
<li>Proficiency with a major cloud ML platform (Databricks, AWS SageMaker, or Google Vertex AI) for deployment and serving.</li>
<li>Ability to produce clear technical design documentation and architecture specs for complex systems.</li>
<li>Strong cross-functional communication and collaboration across product, engineering, security, and operations.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Preferred experience:</b></h3><div><div><div>
<ul><li>Experience with CI/CD pipelines and infrastructure tooling (GitHub Actions, Jenkins, Kubernetes, Terraform).</li>
<li>Experience with a JVM language (Java, Kotlin, or Scala) for backend service development.</li>
<li>Background in data pipeline and streaming tools (Airflow, Spark).</li>
</ul>
<div><p>Not sure this one&rsquo;s for you? Don&rsquo;t count yourself out. Show us what you&rsquo;ve got and we&rsquo;ll reach out if there&rsquo;s a great fit.</p>
</div>
</div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Work perks at Greenlight:</b></h3><div><div><div>
<div><div><ul><li>Medical, dental, vision, and HSA match</li>
<li>Paid life insurance, AD&amp;D, and disability benefits</li>
<li>Traditional 401k with company match</li>
<li>Unlimited PTO</li>
<li>Paid company holidays and pop-up bonus holidays</li>
<li>Professional development stipends</li>
<li>Mental health resources</li>
<li>1:1 financial planners</li>
<li>Fertility healthcare</li>
<li>100% paid parental and caregiving leave, plus cleaning service and meals during your leave</li>
<li>Flexible WFH, both remote and in-office opportunities</li>
<li>Fully stocked kitchen, catered lunches, and occasional in-office happy hours</li>
<li>Employee resource groups</li>
</ul></div></div></div></div></div></div></div><div><div><div><div><div><b>Our stance on salaries:</b></div>
<div>Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more. Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.</div>
<div></div>
<div>The estimated base pay range for this position in (NY, CA, WA): $160,000- 190,000</div>
<div>The estimated base pay range for this position in (CO): $160,000- 180,000</div></div><br>
</div>
</div><div></div><br>
<div><b>Who we are:</b></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>
<div></div>
<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>
<div></div>
<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>
</div><div></div><div><div><i>
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.</i></div></div></div>

AI/ML Engineer Atlanta (Remote Friendly)

Explore 235+ Data pipeline engineer in Atlanta this April. Find roles across top companies and apply now to boost your career.

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