Data Operations Engineer - Minneapolis, MN
Core
Own the full lifecycle of partner data (ingestion, transformation, validation, reconciliation) to enable intelligent, contract-driven data exchange across the partner ecosystem.
Role type
Senior Data Operations Engineer
Builds
Ingestion pipelines, transformation layers, reconciliation processes, and partner-facing data products
Domain
Data operations, partner integrations, AI-augmented workflows
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, modern data tooling (Snowflake, dbt, Airflow), schema registries, agentic tooling, pipeline monitoring/alerting, root cause analysis
Preferred skills
AI-augmented workflow design, ambiguous problem solving, cross-team influence, mentorship
Technologies
Snowflake, dbt, Airflow, schema registries, agentic tooling
Responsibilities
Design and operate data pipelines with defined SLAs; drive pipeline improvements to reduce operational overhead; maintain adaptable data contracts and schema strategies; build pipelines with strong observability and self-healing characteristics; mentor engineers on modern data practices; own end-to-end delivery of partner-facing data products
Seniority
Senior, hands-on IC with mentorship responsibilities