Job Summary
We re hiring a Senior Snowflake Data Engineer to build and operate reliable, scalable data pipelines and curated data products on the Snowflake Data Cloud. Our platform uses a multi-account strategy, and our primary workloads support BI and ML/AI. This is a hands-on engineering role focused on Python-driven data engineering, robust ETL/ELT, and modern transformation practices using dbt Core and OpenFlow.
You ll partner with analytics, data science, platform, and security teams to deliver production-grade datasets with strong quality, observability, governance alignment, and performance/cost efficiency.
Required Qualifications
5+ years of data engineering experience, including significant delivery on Snowflake in production.
Strong Python skills (clean, testable code; packaging; logging/metrics; performance-aware data processing).
Strong SQL and data modeling fundamentals (dimensional and/or domain-oriented modeling).
Hands-on experience with dbt Core (models, macros, tests, docs, deployments, CI practices).
Hands-on experience with OpenFlow (building/running flows, operational support, troubleshooting).
Proven experience designing and operating ETL/ELT pipelines (incremental loads, CDC concepts, error handling, and backfills).
Experience working in cloud environments (AWS/Azure/Google Cloud Platform) and production operations (monitoring, on-call/incident response, SLAs).
Comfortable working across teams (analytics, ML, platform/security) and translating requirements into deliverable datasets.
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