Data Warehouse Engineer

University of Wisconsin Milwaukee • Milwaukee, WI

2d • Hybrid

About The Position

The University of Wisconsin–Milwaukee is seeking a skilled Data Warehouse Engineer to join our Enterprise Data Warehouse team. In this role, you’ll design and build ETL workflows, develop data models, and ensure high‑quality, reliable data pipelines that support analytics across campus. You’ll work with Informatica, SQL, Oracle, and modern data warehousing tools to translate business needs into effective technical solutions. Ideal candidates bring strong SQL and Informatica experience, a solid understanding of data warehousing concepts, and the ability to collaborate with both technical and functional partners. Experience with Oracle, Redshift, or higher‑education environments is a plus.

Requirements

• Bachelor’s degree by date of hire
• 3+ years of professional experience in data engineering, data warehousing, or a closely related discipline
• Proficiency in SQL, including experience writing and optimizing complex queries
• Hands‑on experience developing ETL processes using modern tools or frameworks
• Working knowledge of data warehousing concepts, data modeling techniques, and standard development methodologies
• Applicants must be legally authorized to work in the United States at the time of hire.
• Selected candidates will be required to complete an I-9 form to verify eligibility to work in the U.S.

Nice To Haves

• Bachelor’s degree in Information Technology, Computer Science, or a closely related field
• Experience with Oracle, PL/SQL, and/or Amazon Redshift data warehouse environments
• 3+ years of experience designing, building, and optimizing ETL workflows and data pipelines preferably using Informatica Intelligent Cloud Services
• Experience with data profiling, data quality assessment, and data cleansing practices
• Experience developing conceptual, logical, and physical data models
• Prior IT experience in a higher‑education environment

Responsibilities

• Conducts assessments and/or provides recommendations of source connections options for access and optimal data pipelines for development.
• Develops and unit tests high-complexity load and/or mappings across a suite of tools and deploys to production
• Conducts complex data exploration steps, such as profiling, understanding data quality, binning, pivoting, summarizing, and finding correlations on multiple data types and sources
• Designs and/or builds, tests, and deploys conceptual, logical, and physical data models according to specifications and standards for document naming, security, lifecycle, and retention architectures. May provide architecture options analysis
• Designs, and/or builds, tests, and deploys the data cleansing, integration, and transformation of more complex data in accordance with the defined target data model, based on enterprise data definitions and quality measures provided by data stewards
• Develops and documents the inventory of complex data warehouse assets including adding descriptions and making them discoverable for business use
• Presents the results of highly complex recommendations to address data quality issues, and coaches lower-level staff in performing data quality clean-up initiatives with metrics and reports
• May provide code review, coaching, and oversight of the activities of lower-level data modelers and data curation developers
• May consult with data subject matter experts to document and address data quality issues and ensure data is assured. May support data quality clean-up initiatives with metrics and reports

Benefits

• Comprehensive benefits package
• Contribution towards the cost of several benefit plans
• Extensive leave package including vacation, sick leave (with no expiration), personal holiday, and paid legal holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level