Spotify is hiring for a skilled Data Engineer with a strong data/ETL background to help shape the core datasets that drive Spotify’s Premium Analytics. You’ll be part of a collaborative team of analytics and data engineers, building scalable pipelines and trustworthy datasets within a large data ecosystem. If you’re passionate about designing data models, solving complex problems, and powering insights across Spotify, this role is for you.
- Company: Spotify
- Location: New York, NY
- Type: Full-time
- Salary: $143.5K/ yr – $179.4K/ yr
- Maintain and enhance Spotify’s reporting pipelines, ensuring they remain business-critical
- Build large-scale batch and real-time data pipelines to efficiently collect, process, and store reporting-related data
- Make enhancements to data models and ETL code to improve pipeline efficiency and data quality
- Design, develop, and maintain high-performance backend services and APIs to power Spotify’s advertising platform
- Work closely with stakeholders to understand and translate business requirements into technical solutions
- Write scalable, testable, maintainable, and high-quality code
- Collaborate with engineers, product managers, and other stakeholders, embracing learning and leadership opportunities daily
- Monitor daily execution, diagnose issues, and ensure SLAs are met by maintaining and fixing business-critical pipelines
- Comprehensive health insurance
- Six months paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- Additional Spotify employee perks
