Data Engineer

What you'll do

• Develop and maintain scalable ingestion, transformation, and BigQuery data-modeling pipelines across real-time and batch systems.
• Deploy and operate services on Cloud Run, with monitoring, alerting, testing, and production support.
• Optimize pipeline cost and performance, and partner with analysts, engineers, and business stakeholders on durable data solutions.

What they ask for

• 3+ years of professional experience building production data pipelines, with strong hands-on Python.
• Strong SQL skills, including complex queries, query optimization, and reasoning about query plans and large-scale data operations.
• Experience with BigQuery or a comparable columnar warehouse; working knowledge of Google Cloud or demonstrated ability to learn a new cloud quickly.
• Fluency with Git/GitHub, CI/CD, and containerized development and deployment; bachelor's degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience.

Nice to have

• Experience with streaming/event-driven architectures, dbt or comparable frameworks, telemetry, orchestration, or data quality and lineage tooling.
• Experience using Claude Code or other AI coding tools, including reusable Skills, subagents, or plugins.

Pay

$80,000 — $125,000 USD (base salary)

Tools

Python, SQL, Google Cloud, Cloud Run, BigQuery, Pub/Sub, Cloud Storage, IAM

AI focus

Use AI coding tools, particularly Claude Code, including building reusable Skills, subagents, or plugins that encode repeatable team workflows.