Build scalable, data-driven internal tools and services in Python to measure AI impact across engineering tooling. Own end-to-end features, partner with leaders and data teams, set squad technical direction, and deliver observable, tested data pipelines and dashboards.
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 Software Engineer you'll build scalable data-driven systems that power real-time experiences for millions of customers. From day one, you'll ship production-ready code, deliver features with speed and consistency, and own end-to-end services in a fast-moving, always-on environment. You'll work alongside passionate engineers, architects, and product leaders who value quality, speed, and impact.
What You'll Do
What You'll Bring
#LI-AN1
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.
The Crown Is Yours
As a Software Engineer you'll build scalable data-driven systems that power real-time experiences for millions of customers. From day one, you'll ship production-ready code, deliver features with speed and consistency, and own end-to-end services in a fast-moving, always-on environment. You'll work alongside passionate engineers, architects, and product leaders who value quality, speed, and impact.
What You'll Do
- Design and build internal tools and services in Python that surface engineering metrics and organizational insights
- Lead the technical strategy for measuring AI impact across DraftKings Engineering tooling, data pipelines, and dashboards
- Own features end-to-end - from requirements through deployment and observability
- Partner with engineering leadership, data, and delivery teams to define what to measure and how to act on it
- Set technical direction within your squad and contribute to cross-team architectural decisions
What You'll Bring
- 2+ years of software engineering experience in Python
- Experience building internal tools, data pipelines, or analytics-adjacent services
- Comfortable working with APIs, data stores, and dashboarding/visualization layers
- Solid engineering fundamentals writing maintainable and tested code while thinking carefully about data modeling
- Exposure to working in a team-based environment, through internships, projects, or prior roles
- A passion for building great software and improving continuously.
#LI-AN1
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.
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Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Build scalable, data-driven internal tools and services in Python; lead technical strategy to measure AI impact across tooling, data pipelines, and dashboards; own end-to-end features from requirements to observability; partner with engineering, data, and delivery teams; set squad technical direction and mentor junior engineers.
Top Skills:
APIsDashboards/VisualizationData PipelinesData StoresPython
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Build scalable, data-driven internal tools and services in Python; lead technical strategy to measure AI impact across tooling, data pipelines, and dashboards; own end-to-end features from requirements to observability; partner with engineering, data, and delivery teams; set squad technical direction and mentor junior engineers.
Top Skills:
APIsDashboards/VisualizationData PipelinesData StoresPython
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