Data Engineer, Platform

About this role

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.


The Crown Is Yours


As a Data Engineer, Platform, you will play a critical role in building and scaling the foundational ingestion layer of our data ecosystem. This role focuses on designing and developing high-throughput, fault-tolerant data pipelines that integrates a diverse set of upstream systems into our data lake and data warehouse platforms.


You will work on high-volume, high-frequency data ingestion (batch and real-time), ensuring reliability, observability, and data quality across the platform. In addition to hands-on engineering, you will contribute to evolving Data Ingestion as a platform product, driving standardization, performance optimization, and automation - including leveraging AI-assisted development and intelligent automation frameworks.


What You’ll Do

• Design, build, and maintain scalable data ingestion pipelines supporting a wide range of source systems (APIs, databases, streaming platforms, third-party data providers).
• Develop batch and real-time ingestion frameworks capable of handling high data volumes and low-latency requirements.
• Establish and enhance observability, monitoring, and alerting for ingestion pipelines (latency, throughput, failures, data freshness).
• Implement and enforce data quality checks and validation frameworks at ingestion points.
• Contribute to the development of Data Ingestion as a platform product, including reusable frameworks, standards, and best practices.
• Leverage AI-a...