Data Engineer: Craft Scalable Pipelines for Insights

QuickCruit; Atlanta (GA); On-site; 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

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.