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 YoursAs 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 EngineerBuild 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.
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.
Experience working with Snowflake, Databricks, Kafka, and modern cloud-based data platforms.
Experience with cloud infrastructure, preferably Amazon Web Services (AWS), and familiarity with infrastructure and DevOps tools such as Terraform, PagerDuty, and Datadog.
Deep understanding of data warehousing, data lakes, ETL frameworks, and modern data modeling techniques, including Star Schema and Data Vault.
Experience working with NoSQL databases such as MongoDB or DynamoDB; familiarity with Sigma or similar business intelligence tools is a plus.
Hands-on experience using AI-assisted engineering tools such as Claude Code, Codex, or similar technologies to build agents, automate workflows, and accelerate software development.
Strong communication and collaboration skills, with the ability to thrive in a fast-paced, cross-functional environment while mentoring and supporting other engineers.
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.
Skills Required
- Bachelor’s degree in Computer Science or a related field, or equivalent 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
- Hands-on experience building real-time data streaming solutions
- Experience with Snowflake, Databricks, Kafka, and modern cloud-based data platforms
- Experience with cloud infrastructure, preferably Amazon Web Services (AWS)
- Familiarity with Terraform, PagerDuty, and Datadog
- Understanding of data warehousing, data lakes, ETL frameworks, Star Schema, and Data Vault
- Experience with NoSQL databases such as MongoDB or DynamoDB
- Familiarity with Sigma or similar business intelligence tools
- Hands-on experience using AI-assisted engineering tools such as Claude Code, Codex, or similar technologies
- Strong communication and collaboration skills
- Ability to mentor and support other engineers
- May be required to obtain a gaming license issued by the appropriate state agency
What We Do
Jackpocket is creating a more convenient, fun, and responsible way to take part in the lottery. The first licensed third-party lottery app in the United States, Jackpocket offers players a secure way to order official state lottery tickets, such as Powerball, Mega Millions, and more. Lottery players use Jackpocket to place ticket orders for their favorite games, check lottery results, join lottery pools with other Jackpocket players, and turn on Autoplay so they never miss a drawing. Jackpocket is available in Arizona, Arkansas, Colorado, Idaho, Maine, Massachusetts, Minnesota, Montana, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oregon, Texas, Washington, D.C., and West Virginia with many new markets on the horizon.
Why Work With Us
Our dedicated team of superhumans (and an adorable office pup or two) are making waves in an $80 billion industry. We believe transparency, teamwork, and a healthy dose of daily fun are key to creating Worktopia. Jackpocketeers are supportive, forward-thinking, and truly enjoy spending time together. Come join us for the long haul!
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