Data Engineer - On-Prem Data Warehouse & Fabric

Ziegler Cat; BLOOMINGTON (MN); On-site; USD 95,000 - 119,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

PTO 15 days first year

9 paid holidays

401(k) with company match

HSA contribution

Disability Insurance

Parental Leave & Funeral Leave

Fitness membership discount

Education Assistance

Job summary

Ziegler CAT is seeking a Data Engineer to design, develop, and optimize its enterprise data platform and integration architecture. This role focuses on Microsoft Fabric Data Warehouse, ETL/ELT pipelines, and enterprise integrations in an on-premise Bloomington setting.

You will partner with stakeholders to translate data requirements into technical solutions, ensure data quality and governance, and contribute to data models and BI-ready datasets for Power BI and applications.

Qualifications

• Bachelor's degree or equivalent experience in a related field.
• 3+ years of experience in data engineering, data warehousing, or ETL/ELT development.
• Experience designing and supporting enterprise data warehouse solutions.

Responsibilities

• Design, develop, maintain, and optimize enterprise data warehouses and data platforms using Microsoft Fabric.
• Develop, manage, and monitor ETL/ELT pipelines for reporting, analytics, BI, and data integration.
• Design scalable data architectures to support current and future needs.

Skills

SQL proficiency

Data integration

Dimensional modeling

ETL/ELT development

Data pipelines

Troubleshooting

Communication

Self-starter

Data quality

Education

Bachelor's degree in CS/IS/Data Eng/Software or related field; or equivalent experience

Tools

Microsoft Fabric

Azure Data Services

Job description

Ziegler CAT is seeking a Data Engineer to design, develop, and optimize its enterprise data platform and integration architecture. This role focuses on Microsoft Fabric Data Warehouse, ETL/ELT pipelines, and enterprise integrations in an on-premise Bloomington setting.

You will partner with stakeholders to translate data requirements into technical solutions, ensure data quality and governance, and contribute to data models and BI-ready datasets for Power BI and applications.