Data Engineer
FanDuel is looking for a Data API Engineer (Software Engineer with interest in Data applications) to join its growing team. The role involves building applications with REST API endpoints to provide recommendations based on data pipelines, ML models, and infrastructure that power analytics, machine learning, and drive business and customer insights across the company.
In this role, you will contribute to the design, development, and maintenance of reliable Fraud recommendation applications while collaborating with stakeholders to support high-impact data use cases. The ideal candidate is a strong technical contributor who enjoys working with building software and data applications at scale, solving practical problems, and continuously learning in a fast-paced environment.
- Design, build, and maintain scalable Python Flask API applications or similar programming languages to achieve low latency response.
- Understand and have experience in developing batch and stream data ingestion or developed applications leveraging SQL database like Postrgres DB or NoSQL/Redis DB.
- Implement REST API endpoints on Kubernetes cluster using API Gateway like KONG.
- Ensure API response is reliable, accurate, and delivered in a timely manner.
- Write clean, efficient, and well-documented code and test cases using tools like Python, SQL, and Pyspark (optional).
- Understand containerisation and Kubernetes deployment using ArgoCD.
- Partner with Senior Engineers in code reviews, design discussions, planning sessions and team ceremonies, asking questions and sharing ideas.
- 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.
- Monitor applications 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.
- Experience in developing batch and stream data ingestion (required)
- Experience developing applications leveraging SQL databases like Postgres DB or NoSQL/Redis DB (required)
- Experience with Python Flask API applications or similar programming languages (required)
- Experience implementing REST API endpoints on Kubernetes cluster using API Gateway like KONG (required)
- Understanding of containerisation and Kubernetes deployment using ArgoCD (required)
- Proficiency in writing clean, efficient, and well-documented code and test cases using tools like Python, SQL, and Pyspark (optional)
FanDuel Group is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the North America, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media, including FanDuel, Stardust Casino and TVG. 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).