Sr Data Engineer
Core
Design, build, and operate metadata-driven ingestion and egress pipelines landing data from enterprise applications, databases, and third-party APIs into Snowflake, serving Finance, Sales, Marketing, Service, and AI initiatives.
Role type
Senior hands-on IC data engineer (data platform & AI foundation)
Builds
Production pipelines, governed views, conformed/mart layers, and data products for BI and AI agents
Domain
Automotive industry, cloud data engineering, AI data foundations
Deliverable
production ML models | product features
Required skills
Python, advanced SQL, Snowflake (schema/view design, MERGE, masking), AWS data services (serverless, CDC, orchestration), Infrastructure-as-code (Terraform/CloudFormation), CI/CD, data modeling (dimensional/denormalized), data quality & observability, data security & governance
Preferred skills
AI-assisted engineering tools, Snowflake AI features, dbt, Apache Airflow, data cataloging, BI semantic layers, automotive/finance domain knowledge
Technologies
Snowflake, AWS, Python, SQL, Terraform, CloudFormation, Git, dbt, Apache Airflow
Responsibilities
Design and operate metadata-driven pipelines; own end-to-end feature delivery from requirement to production; build governed consumption layers with PII masking; extend shared libraries and frameworks; enforce data-quality and reconciliation standards; lead production readiness and support escalations; drive legacy code migration; use AI-assisted development; partner with business and AI teams to define datasets; mentor junior and offshore engineers
Seniority
Senior, hands-on IC with mentorship responsibilities