Role Title: Data Warehouse Engineer
Employment Type: Contract
Duration: 6 month contract, with potential extensions or conversion
Preferred Location: Hyrbid onsite in Plymouth/Livonia MI area
Role Description:
We are seeking a Data Warehouse Engineer 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
Requirements:
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
Preferred Qualifications:
- 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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