Senior Data Engineer

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 Senior Data Engineer, you'll build the real-time data capabilities that power analytics, reporting, and intelligent experiences across our platform. You'll design and scale modern data infrastructure, turning complex data into trusted insights that help teams make faster, more informed decisions. Working across Engineering, Analytics, and business teams, you'll solve challenging technical problems, shape the future of our data architecture, and create the foundation for AI-powered experiences that accelerate how we build and innovate.

What you'll do as a Senior Data Engineer

• Build scalable, high-performance data infrastructure that transforms raw and historical data into trusted, actionable insights.

• Design, develop, and maintain real-time and batch data pipelines using technologies such as Kafka, Databricks, and Snowflake.

• Develop reliable data solutions that power business-critical reporting, analytics, and platform insights.

• Build AI-powered data experiences that enable teammates to explore and analyze data using natural language, extending beyond text-to-SQL to support intelligent, autonomous workflows.

• Partner with Engineering, Analytics, and cross-functional stakeholders to translate complex business requirements into scalable, analytics-ready datasets.

• Design and optimize modern data models, including Star Schema and Data Vault methodologies, while championing data quality, governance, and observability.

• Drive best practices for data engineering, streaming, transformation, and platform performance while mentoring teammates and contributing to the continued growth of the Data Engineering Team.

• Collaborate in an agile environment, delivering scalable solutions that support evolving business and platform needs.

What you'll bring

• A Bachelor's Degree in Computer Science or a related field, or an equivalent combination of education, training, and professional experience.

• At least 3 years of experience designing, building, and maintaining scalable data platforms and distributed data systems.

• Strong proficiency in Python and SQL, with hands-on experience building real-time data streaming solutions.