greenhouse
Senior Data Engineer
Pie Insurance
Remote, USA
Full-time
Senior · 5+ years experience
Remote
USD 140000-175000 yearly / year
Discovered 1 weeks ago
PythonSQLAirflowData Vault 2.0SnowflakeRedshift
Free
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PythonSQLAirflow
Key Skills for This Role
PythonSQLAirflowData Vault 2.0SnowflakeRedshift
Full Job Posting
How You’ll Do It
Develop complex and efficient data pipelines to transform raw data sources into reliable, well-tested components of our data models.
Design, build, and maintain data pipelines that deliver accurate, trusted data with the freshness our stakeholders depend on.
Make data modeling decisions within our Data Vault 2.0 warehouse that balance raw fidelity in the vault with the consumption patterns of downstream marts and analytics.
Administer and optimize Snowflake across warehouse sizing, query performance, access controls, RBAC and user/role management, and ongoing cost tuning.
Build and maintain resilient Airflow DAGs and CI/CD pipelines that make deployments predictable, repeatable, and safe to roll back.
Implement automated testing (unit, integration, and data quality) so issues are caught in CI before they reach production.
Own production observability through our internal tooling, tuning alerts, responding to incidents, and closing the loop from production issues back into pre-load validation and CI checks.
Leverage AI-powered tools (e.g., Claude Code, Cursor, Snowflake Cortex) as a core part of your development workflow to accelerate code generation, automate documentation, and improve code quality.
Work with stakeholders across Executive, Product, Engineering, and business teams to translate the "why" behind a request into a technical solution that meets the business need.
Lead technical projects end-to-end, scoping with stakeholders, documenting requirements, and explaining technical trade-offs without relying on a Product Manager.
Drive cross-team initiatives that require influence and alignment to achieve a common goal.
Drive best practices for data governance, privacy, and security, including the change management and validation discipline required for SOX-relevant reporting.
Take an active part in the operational responsibilities of running our data infrastructure, with a focus on reliability, cost efficiency, and observability.
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