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Staff Data Engineer

Skills
Warehouse OperationsAmazon RedshiftAnalyticsBig DataBusiness InsightsData WarehousingModeling
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 6+ years of hands-on experience in data engineering data warehousing or analytics engineering
  • Expert SQL knowledge and Python proficiency
  • Experience with modern data warehouses and orchestration or transformation tools such as Snowflake Redshift BigQuery dbt Airflow Dagster or Prefect
  • Experience with cloud infrastructure
  • Understanding of software engineering best practices including version control CI/CD code review and infrastructure-as-code
  • Understanding of MLOps and experience implementing AI/ML technologies
  • Bachelor's degree in STEM or related field
  • Preferred: Big Data or IoT data experience
  • Preferred: Experience working with unstructured data
  • Preferred: Experience working with GovCloud and FedRAMP

Nice to have

  • Analytical
  • Detail-oriented
  • Collaborative
  • Proactive

Day to day

  • Build and orchestrate data pipelines that ingest and transform vehicle and internal system data.
  • Design and maintain a scalable Snowflake data warehouse with strong performance and cost efficiency.
  • Partner with technical and non-technical stakeholders to deliver end-to-end data products, governance, and quality monitoring.