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Staff Data Engineer
Skills
Warehouse OperationsAmazon RedshiftAnalyticsBig DataBusiness InsightsData WarehousingModeling
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.
