NimbleRx

Data Engineer

• Own the data platform end-to-end — ingestion, transformation, storage, query, and access — and drive its roadmap as the company's data needs grow
• Build and evolve batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda, and Step Functions, ingesting from Postgres, Salesforce, third-party vendors, and product event streams into our Iceberg-based lake
• Model the warehouse: design SCD tables, event tables, and the conventions other engineers and analysts follow when adding new data
• Partner with product, engineering, analytics, and operations stakeholders across the company to turn data requests into well-scoped, reliable pipelines — and write the docs and tooling that let them self-serve next time
• Own the security and compliance backbone of our data systems, including audit logging, access control, and temporary-access workflows
• Optimize backend query performance where the data layer meets product code — reader-replica routing, indexing, caching, and IO instrumentation in our Java/Spring services
• Lead investigation and remediation when data infrastructure misbehaves — IOPS spikes, pipeline failures, schema drift, late data — and make the fixes durable
• Use AI as a daily accelerant for pipeline scaffolding, schema work, and ad-hoc investigations — and ship internal AI tooling that lets other teams do the same
• Mentor engineers and analysts across the company on how to work with the data platform

Senior Data Engineer