Senior Data Engineer
Posted 5hrs ago
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Job Description
Senior Data Engineer building high-performance data infrastructure for regulatory reporting at DraftKings. Collaborating with cross-functional teams to enhance data quality and support business operations.
Responsibilities:
- 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:
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options




















