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 Data Engineer on the Data Enablement team, you’ll help build the infrastructure that powers how teams across DraftKings discover, understand, and trust their data. You’ll design scalable solutions to improve metadata accuracy, data quality, and governance ensuring analytics and reporting are not only reliable but impactful. This role sits at the intersection of data engineering and usability, giving you the chance to shape how data is documented, monitored, and accessed across the business. You’ll collaborate with engineering and business partners alike to unlock new ways of delivering trusted data at scale.

What You’ll Do

• Build and support scripts, APIs, and data integrations that connect internal tools and data sources.

• Partner with Data Engineering, IT, and business teams to help implement data quality rules, monitoring, and alerting processes.

• Contribute to the curation and maintenance of the enterprise data catalog, helping ensure metadata is accurate, discoverable, and useful for end users.

• Support data governance efforts focused on protecting customer personal information, helping ensure data is handled, documented, and used responsibly across data platforms.

• Help define and implement reusable patterns for collecting, validating, and maintaining metadata across data platforms.

• Contribute to foundational work that supports DraftKings’ Semantic Data Layer, including consistent definitions, lineage, and metadata that can be leveraged by analytics tools and AI-powered experiences.

What You’ll Bring

• Bachelor’s Degree in Computer Science or any suitable combination of education, experience, and training.

• At least one year of working with data pipelines and integrations using Python.

• Familiarity with analyzing data flows and dependencies, and contributing to reliable data solutions.

• Exposure to modern data platforms and tools such as Snowflake, Databricks, Kafka, Terraform, PagerDuty, Datadog, Jira, Confluence, and Bitbucket.

• Working knowledge of data warehousing concepts, data lakes, and basic data modeling principles.

• Familiarity with ETL/ELT concepts and data pipeline development.

• Interest in how metadata, semantics, and governance enable AI-driven analytics and intelligent data discovery.

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.