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Data Warehouse Engineer
Job in
Warren, Macomb County, Michigan, 48091, USA
Listed on 2026-06-03
Listing for:
Bayforce
Contract
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
Data Engineer, Data Warehousing
Job Description & How to Apply Below
Duration: 6 month contract, with potential extension
Preferred
Location:
Remote in Michigan - some travel to Plymouth, MI may be needed
We are seeking a Data Warehouse Expert / Consultant to support the continued growth and enhancement of our enterprise manufacturing data environment. This role will focus on integrating shop floor and operational systems into a centralized data warehouse architecture while improving reporting, analytics, and KPI visibility across the organization.
The ideal candidate will have hands‑on experience with modern cloud data technologies, strong data integration expertise, and the ability to collaborate with both technical and business stakeholders in a manufacturing environment.
Key Responsibilities- Design, develop, and enhance enterprise data warehouse solutions to support manufacturing operations and reporting needs
- Integrate distributed shop floor and operational systems into a centralized data warehouse environment
- Develop and maintain scalable ETL/ELT pipelines and data integration processes
- Build and optimize data models for reporting, analytics, and KPI generation
- Collaborate with business stakeholders to gather requirements and translate them into technical solutions
- Support reporting and dashboard development using Power BI and related tools
- Work with APIs and external data sources to automate data ingestion and consolidation
- Ensure data quality, integrity, and performance across the data platform
- Partner with internal teams and external vendors to support ongoing data initiatives and enhancements
- Contribute to the advancement and sophistication of the existing data warehouse architecture
Required Qualifications:
- 3-5 years of experience in data warehouse development, data engineering, or related fields
- Strong experience with:
Azure Data Factory, Snowflake, Power BI, API integrations - Experience designing and supporting ETL/ELT processes
- Knowledge of data modeling, data integration, and reporting best practices
- Experience working with manufacturing, shop floor, or operational data environments preferred
- Strong analytical and problem‑solving skills
- Excellent communication and collaboration abilities
- Experience working in enterprise manufacturing environments
- Familiarity with cloud‑based data architectures and modern analytics platforms
- Ability to work independently in a fast‑paced, evolving environment
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