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Swoop

Senior Data Engineer

Swoop

. Own the data platform end-to-end, including ingestion, transformation, storage, query, and access .

Posted 9/26/2026full-timeRedwood City • California • United StatesSenior💰 $205,000 - $240,000 per yearWebsite

Tech Stack

Tools & technologies
JavaPostgresPySparkPythonSparkSpringSpring BootSpringBootSQLTerraform

About the role

Key responsibilities & impact
  • Own the data platform end-to-end, including ingestion, transformation, storage, query, and access
  • Drive the data platform roadmap as company data needs grow
  • Build and evolve batch and streaming pipelines using PySpark/EMR, Kinesis, Lambda, and Step Functions
  • Ingest data from Postgres, Salesforce, third-party vendors, and product event streams into an Iceberg-based lake
  • Design SCD tables, event tables, and data conventions for engineers and analysts
  • Partner with product, engineering, analytics, and operations stakeholders to turn data requests into reliable pipelines
  • Write documentation and tooling that enable self-service
  • Own data-system security and compliance, including audit logging, access control, and temporary-access workflows
  • Optimize backend query performance through read-replica routing, indexing, caching, and I/O instrumentation in Java/Spring services
  • Investigate and remediate IOPS spikes, pipeline failures, schema drift, and late data
  • Use AI for pipeline scaffolding, schema work, and investigations; ship internal AI tooling
  • Mentor engineers and analysts on working with the data platform

Requirements

What you’ll need
  • 5+ years of experience building production data pipelines and platforms
  • Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale
  • Skills and willingness to work on services around the data layer (Java, Spring Boot)
  • Hands-on experience with distributed compute (Spark/EMR), streaming (Kinesis), and object storage (S3)
  • Solid Postgres fundamentals: query optimization, indexing, replication, replica routing, and identifying database bottlenecks
  • Experience with Iceberg and Trino, or similar
  • Comfort with CI/CD and Terraform
  • Experience building with AI, including frontier models or agentic coding tools
  • Track record of working across product, operations, and other teams
  • Experience handling security and PII/PHI compliance as core engineering work

Benefits

Comp & perks
  • Professional growth opportunities
  • Best Places to Work recognition (company recognition, not an individual compensation benefit)