Data Warehouse Engineer

Overview

Data Warehouse Engineer – Milwaukee, WI. Job . Regular employment in the Academic Staff category. Job profile: DW Eng/Developer II.

• Design and build ETL workflows, develop data models, and ensure high-quality, reliable data pipelines that support analytics across the campus.
• Work with Informatica, SQL, Oracle, and modern data warehousing tools to translate business needs into technical solutions.
• Assess source connections and options for access and optimal data pipelines; develop and unit test high-complexity load and/or mappings and deploy to production.
• Conduct complex data exploration (profiling, data quality, binning, pivoting, summarizing, finding correlations) on multiple data types and sources.
• Design, build, test, and deploy conceptual, logical, and physical data models in accordance with standards for naming, security, lifecycle, and retention; provide architecture options analysis as needed.
• Cleanse, integrate, and transform complex data according to the target data model and enterprise data definitions and quality measures from data stewards.
• Inventory and document complex data warehouse assets for discoverability and business use.
• Present recommendations to address data quality issues and coach lower-level staff on data quality clean-up with metrics and reports.
• Provide code reviews, coaching, and oversight of lower-level data modelers and data curation developers as needed.
• Consult with data subject matter experts to document and address data quality issues and support data quality clean-up initiatives with metrics and reports.

• This position does not offer visa sponsorship. 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.
• Hybrid-flexible schedule with a minimum of one on-campus day per week during initial training and onboarding. More remote work options may be considered based on performance, operational needs, and team alignment.

• 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 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

• 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 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

UW–Milwaukee offers a comprehensive benefits package and contributes toward the cost of several benefit plans. Eligible employees receive paid leave and holidays. Detailed summary of benefits is provided by the university.

All applicants must apply online and submit a cover letter and a resume that clearly describe their professional-level experience as it relates to the required and preferred qualifications. Ensure all required fields and documents are completed and attached before submitting the online application.

UW is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or state law and UW System policies.

the university job site for this posting and reference the JR job .