Data Engineer
Data Engineer responsible for building and maintaining reliable business‑critical reports and dashboards, leveraging SQL, Python, ETL pipelines, Airflow orchestration, Snowflake data warehousing, and AWS cloud services.
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, you’ll support the development and reliability of business-critical reports and dashboards that power decision-making across DraftKings. You’ll work closely with teammates across the Data Engineering, Analytics, TPM, QA and Ops teams to create, maintain, and improve scalable BI solutions. Whether it’s automating workflows, refining reporting logic, or supporting on-call operations, you’ll play a key role in ensuring our BI ecosystem remains accurate, efficient, and user-friendly. This is an ideal role for someone early in their data career who’s excited to solve real business problems through data.
What you’ll do as a Data Engineer
Build and maintain reports and dashboards that support day-to-day decision-making across the business
Participate in an on-call rotation to ensure the reliability of BI services and dashboards
Collaborate with Data Engineering, Analytics, QA and Ops teams to ensure reporting consistency, documentation, and data quality
Identify and implement opportunities to automate reports, reduce manual work, and improve speed to insight
Troubleshoot reporting issues and data anomalies in coordination with engineering partners
Support our data governance and data quality standards within the BI environment
Enhance reporting workflows and performance through continuous process improvement
Translate stakeholder needs into scalable BI solutions using modern reporting tools
What you’ll bring
At least 1-3 years of experience in data engineering, BI development, analytics, or reporting
Proficiency with reporting or BI tools such as Sigma, Tableau, Looker, or Power BI
Hands-on experience with cloud data platforms, particularly Snowflake
Strong SQL skills and a solid understanding of data structures used in reporting
Interest in automation, scripting, and workflow tools to improve reporting efficiency
Comfort supporting business-critical reporting needs as part of an on-call rotation
Strong attention to detail, problem-solving mindset, and communication skills
Curiosity about modern data technologies and AI tools to improve BI infrastructure
Fluency in English
Join Our Team
We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gam
Posted June 26, 2026