Backend Engineer - Data Infrastructure

What You'll Do

• Build, operate, and evolve data analytics platform that includes backend services as well as OLAP data store (Druid) for teams building analytics across Spotify.
• Build internal tooling, libraries, and services that streamline integration patterns with our analytics platform.
• Advocate for best practices in service design, data modeling, schema evolution, and contract testing to ensure long-term maintainability.
• Work in an autonomous, mult-functional environment and collaborate with squads across Spotify to continuously iterate and deliver on new product objectives.

Who You Are

• 3+ years of relevant experience with distributed datastores, and backend services.
• Proficient in Java and excited to learn Kubernetes, Terraform.
• Understanding of data modeling, dimensional schemas, and analytical query patterns.
• Experience building internal developer tools, libraries, or shared services that support large engineering organizations.
• Strong sense of ownership of service quality, SLOs, and operational excellence.
• Familiar with OLAP databases or analytics warehouses (e.g., Druid, ClickHouse, Pinot, BigQuery, Snowflake). Experience with Druid is a strong plus.
• Comfort with metrics-driven development and observability stacks (Prometheus, Grafana, similar).
• You are a good communicator and an empathetic, attentive listener with the capability to anticipate the needs of partners
• You are deeply curious, and enjoy exploring both technical and organizational problems and domains.
• You are eager to learn new technologies and to expand your area of expertise

Where You'll Be

• This role is based in NYC
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.