
1001 - 5000 employees
Founded 2012
đČ Gambling
đź Gaming
đ„ B2C
Gambling âą Gaming âą B2C
DraftKings Inc. is a digital sports entertainment company operating a leading online sportsbook, daily fantasy sports, and casino platform that delivers real-money betting and gaming experiences via web and mobile apps. It combines sports data, analytics, and content to engage fans, provides marketing and VIP/loyalty programs, and maintains global teams across engineering, product, compliance, and customer experience while emphasizing responsible gaming.
đ 5 days ago
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1001 - 5000 employees
Founded 2012
đČ Gambling
đź Gaming
đ„ B2C
Gambling âą Gaming âą B2C
DraftKings Inc. is a digital sports entertainment company operating a leading online sportsbook, daily fantasy sports, and casino platform that delivers real-money betting and gaming experiences via web and mobile apps. It combines sports data, analytics, and content to engage fans, provides marketing and VIP/loyalty programs, and maintains global teams across engineering, product, compliance, and customer experience while emphasizing responsible gaming.
âą Build scalable, high-performance data infrastructure âą Design and maintain real-time and batch data pipelines using Kafka, Databricks, and Snowflake âą Develop reliable data solutions for business-critical reporting and analytics âą Build AI-powered data experiences for data exploration and analysis âą Partner with cross-functional teams to translate business requirements into analytics-ready datasets âą Design and optimize modern data models (Star Schema, Data Vault) âą Drive best practices for data engineering and mentor teammates âą Collaborate in an agile environment to support evolving business needs
âą Bachelor's Degree in Computer Science or a related field, or equivalent experience âą At least 3 years of experience designing, building, and maintaining scalable data platforms and distributed data systems âą Strong proficiency in Python and SQL âą Hands-on experience with Snowflake, Databricks, Kafka, and cloud-based data platforms âą Familiarity with AWS and DevOps tools (Terraform, PagerDuty, Datadog) âą Understanding of data warehousing, data lakes, ETL frameworks, and data modeling techniques âą Experience with NoSQL databases (MongoDB, DynamoDB) âą Proficient with AI-assisted engineering tools (Claude Code, Codex) âą Strong communication and collaboration skills
âą Health insurance âą 401(k) plans âą Paid time off âą Flexible work arrangements
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