Data Engineer FanDuel · Atlanta, GA

QuickCruit; Atlanta (GA); Hybrid; USD 110,000 - 150,000; Full time

Job summary

FanDuel in Atlanta, GA is seeking a Data Engineer to join our growing data team. You will own the design, development, and maintenance of reliable data systems that power analytics, machine learning, and business decision-making.

You’ll write clean, scalable code in Python and SQL, build batch and streaming pipelines with Spark, ensure data reliability and timeliness, and collaborate across analysts, data scientists, and product managers in an agile environment.

Qualifications

• Proficiency in Python for data processing and scripting.
• Strong SQL skills for data extraction, transformation, and loading.
• Experience with Spark or similar big data frameworks.

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
• Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
• Ensure data is reliable, accurate, and delivered in a timely manner.
• Lead projects to build or improve well-scoped data products.
• Work with data analysts, data scientists, and product managers to understand and clarify ambiguous requirements to deliver actionable data solutions.
• Translate business questions into engineering tasks and contribute to technical planning.
• Participate in code reviews, sprint planning, and retrospectives as part of an agile team.

Skills

Python

SQL

Spark

Job description

# Data EngineerFanDuel · Atlanta, GATailor My ResumeStart free. No credit card.### About the JobTHE POSITION Our roster has an opening with your name on itWe 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 PlanEveryone on our team has a part to playBuild & Maintain Data Pipelines* Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.* Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.* Ensure data is reliable, accurate, and delivered in a timely manner.* Lead projects to build or improve well-scoped data products.### Collaborate Across Teams* Work with data analysts, data scientists, and product managers to understand and clarify ambiguous requirements to deliver actionable data solutions.* Translate business questions into engineering tasks and contribute to technical planning.* Participate in code reviews, sprint planning, and retrospectives as part of an agile team.