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 complex transactional and financial data into trusted datasets for regulatory reporting and business operations. • Develop reliable data pipelines and data products that power regulatory reporting, financial operations, analytics, and operational insights while ensuring data accuracy and reliability. • Design, build, and optimize modern data models and distributed data pipelines. • Leverage AI throughout the software development lifecycle to improve engineering productivity, strengthen data quality, and build trusted data products. • Collaborate with cross-functional stakeholders to translate complex business and regulatory requirements into scalable, analytics-ready data models and solutions. • Mentor Data Engineering teammates by sharing best practices, providing technical guidance, and helping raise engineering standards across the team. • Collaborate in an agile environment to deliver scalable data solutions that support evolving business and regulatory needs.

🎯 Requirements

• 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 developing both real-time and batch data processing solutions. • Experience with modern cloud-based data platforms using technologies such as Snowflake, Databricks, Kafka, or similar distributed data processing and streaming technologies. • Experience with cloud infrastructure, preferably Amazon Web Services (AWS), as well as tools such as Terraform, Datadog, and PagerDuty. • A strong understanding of data warehousing, data lakes, ETL frameworks, distributed data processing, and modern data modeling techniques. • Experience building trusted data solutions that support financial operations, regulatory reporting, auditability, reconciliation, or other highly governed data domains. • Hands-on experience with AI-assisted engineering tools such as Claude Code, Codex, or similar technologies. • Fluency in English.

🏖️ Benefits

• Remote work options