DraftKings is a sports-technology and media entertainment platform founded in 2012 to change the way consumers engage with their favorite athletes, teams, and s
Senior Data Engineer
Location
Bulgaria
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer
DraftKings
• 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.
Job 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
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