We’re looking for a Data Platform Engineer to build the software that connects enterprise systems and makes their data usable across applications, analytics, and AI.

You’ll work at the intersection of backend engineering and data systems, building reusable capabilities for connecting to, querying, moving, and processing data.

This role is open to remote candidates, with a preference for those based in the Bay Area.

At least 2+ years of experience as a Data Platform Engineer

Build core data platform capabilities. Develop services and APIs for data access, query execution, ingestion, and synchronization.

Make integrations reusable. Build connector frameworks and abstractions that support different systems and access patterns without requiring bespoke implementations.

Improve performance and resource efficiency. Identify bottlenecks in querying and data movement; apply partitioning, parallelism, and effective memory and storage management.

Own execution reliability. Build orchestration, retries, checkpointing, and observability so workloads recover predictably from failures and maintain data correctness.

Take capabilities from design to production. Work with product and engineering teams to define interfaces, make architectural tradeoffs, and operate what you build.

What you’ll bring

Strong Python and SQL, with experience building maintainable, tested production software.

Experience developing backend services, data infrastructure, or data platform components, beyond configuring pipelines.

Data Platform Engineer

Responsibilities

Qualification

Required

Preferred

Company

Tessera Labs

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