
1001 - 5000 employees
Founded 2012
🎮 Gaming
⚽ Sports
👥 B2C
Gaming • Sports • B2C
DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.
🔥 0 minutes ago
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1001 - 5000 employees
Founded 2012
🎮 Gaming
⚽ Sports
👥 B2C
Gaming • Sports • B2C
DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.
• 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 • Mentor junior and mid-level engineers through code review, design feedback, and pairing
• 4+ years of software engineering experience • 3+ years 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 • Track record of owning and delivering complex projects with ambiguous requirements • Strong communication skills with the ability to translate fuzzy organizational questions into concrete technical solutions.
• Flexible work arrangements • Professional development opportunities
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