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Senior Data & Analytics Engineer
Job in
Dearborn, Wayne County, Michigan, 48120, USA
Listed on 2026-02-28
Listing for:
Ford Motor Company
Full Time
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
Senior Data & Analytics Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the Dearborn office. Hence, the employee must live within a reasonable commuting distance from Dearborn, MI.
Responsibilities- Lead collaboration with stakeholders and cross‑functional teams to gather and define complex data requirements, ensuring alignment with strategic business objectives.
- Architect and implement sophisticated ETL pipelines, ensuring efficient data integration into Big Query from diverse batch and streaming sources, with a focus on Supply Chain IT solutions.
- Design, build and optimize advanced data models to support comprehensive business intelligence and analytics.
- Spearhead the development and maintenance of data ingestion and analytics pipelines using cutting‑edge tools and technologies, including Python, SQL, and DBT/Dataform.
- Ensure the highest standards of data quality and integrity across all data processes.
- Data workflow management using Astronomer and Terraform for cloud infrastructure, promoting best practices in Infrastructure as Code (IaC).
- Lead the creation of interactive dashboards and reports using Qlik Sense, providing strategic insights and data visualization.
- Conduct thorough data mapping, impact analysis, root cause analysis, and document data lineage to support robust data governance.
- Develop comprehensive documentation for data engineering processes, promoting knowledge sharing and system maintainability.
- Utilize GCP monitoring tools to proactively address performance issues and ensure system resilience, while providing expert production support.
- Provide strategic guidance and mentorship to team members on data transformation initiatives, championing data utility within the enterprise.
EOE. Apply online at:
#J-18808-LjbffrPosition Requirements
10+ Years
work experience
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