Data Engineer
Role details
Job location
Tech stack
Job description
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 contribute to 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, 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.
THE GAME PLAN
Everyone on our team has a part to play
Build & 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
Collaborate Across Teams
- Work with data analysts, data scientists, and product managers to understand requirements and 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.
Data Quality & Operations
- Monitor data pipelines and troubleshoot issues in a timely, systematic manner
- Implement data quality checks and contribute to observability and testing practices
- Document data sources, transformations, and architecture decisions to support long-term maintainability
Requirements
- Experience in data engineering, analytics engineering, or software engineering with a focus on data.
- Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
- Hands-on experience with modern data tools such as Databricks, Airflow, DBT, Spark, or Kafka.
- Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
- Experience working with cloud-based data platforms (AWS, GCP, or Azure)., * Experience supporting BI, analytics, or data science teams.
- Familiarity with version control, CI/CD, and collaborative development workflows.
- Exposure to data governance, privacy, or compliance practices.
- Eagerness to learn new technologies and contribute to the growth of the team.
Benefits & conditions
From our many opportunities for professional development to our generous insurance and paid leave policies, we're committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect:
- An exciting and fun environment committed to driving real growth
- Opportunities to build really cool products that fans love
- Career and professional development resources to help you refine your game plan for owning and driving your career and development
- Be well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another
