Data Engineer - Enterprise Data Platform & Pipelines

Ziegler Cat; Minneapolis (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 to start

Paid Holidays

401(k) with company match

Disability Insurance

FSA & EAP

Parental Leave

Job summary

Ziegler CAT is seeking a Data Engineer to design, develop, maintain, and optimize its enterprise data platform and integration architecture. This on-prem role at the Bloomington office focuses on Microsoft Fabric Data Warehouse, ETL/ELT pipelines, and enterprise integrations to enable robust BI solutions.

You will collaborate with stakeholders to ensure data quality and security, mentor teammates, and help evolve the data landscape with scalable architectures and governance.

Qualifications

• Bachelor's degree in CS/IS/Data Engineering or equivalent experience.
• 3+ years of data engineering or data warehousing experience.
• Experience designing and supporting enterprise data warehouse solutions.
• Experience with Microsoft Fabric, Azure Data Services, or comparable cloud-based data platforms.
• Strong proficiency with SQL and relational database design.
• Experience developing and maintaining data integration solutions and enterprise interfaces.
• Strong understanding of dimensional modeling, star schemas, and data warehouse architecture.
• Experience working with data pipelines, orchestration tools, and data transformation frameworks.
• Strong troubleshooting, problem-solving, and analytical skills.
• Excellent communication skills across departments.

Responsibilities

• Design, develop, maintain, and optimize enterprise data warehouses and data platforms utilizing Microsoft Fabric.
• Develop, manage, and monitor ETL/ELT pipelines supporting reporting, analytics, BI, and data integrations.
• Design and implement scalable data architectures to meet business needs.
• Build and maintain integrations between ERP/CRM systems, cloud apps, third-party vendors, and internal apps.
• Collaborate with stakeholders to translate data requirements into technical solutions.
• Ensure data integrity, quality, consistency, and accuracy across systems.
• Implement and maintain data governance, security, and compliance standards.
• Monitor and troubleshoot data pipelines and warehouse performance; identify improvements.
• Develop and maintain data models, dimensional structures, and reporting datasets for BI.
• Partner with BI and Power BI teams to deliver reliable data solutions.
• Establish and enforce data engineering standards and documentation.
• Evaluate emerging technologies and propose platform improvements.
• Provide technical leadership and mentoring to team members.

Skills

SQL

Data Warehousing

ETL/ELT

Microsoft Fabric

Azure Data Services

Data Modeling

Data Governance

Data Pipelines

BI Collaboration

Communication

Education

Bachelor's degree in Computer Science/Information Systems/Data Engineering or related field

Tools

Power BI

Azure Data Factory

SQL Server

Job description

Ziegler CAT is seeking a Data Engineer to design, develop, maintain, and optimize its enterprise data platform and integration architecture. This on-prem role at the Bloomington office focuses on Microsoft Fabric Data Warehouse, ETL/ELT pipelines, and enterprise integrations to enable robust BI solutions.

You will collaborate with stakeholders to ensure data quality and security, mentor teammates, and help evolve the data landscape with scalable architectures and governance.