Senior Data Engineer

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DraftKings Inc.

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Build 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Retirement plans • Professional development • Paid time off • Flexible work arrangements