Description
Position Summary:
The University of Wisconsin–Platteville is seeking a Data Warehouse Developer to join the Platteville Analytics & Institutional Reporting (PAIRS) department. In this role, the successful candidate will assist in the design, build, testing, deployment, and production support of core data warehouse and analytics solutions, including source-to-target mapping, data profiling and quality assessments, data modeling, and development lifecycle activities under close supervision.
The position offers a flexible remote work arrangement. Candidates who would be able to attend limited in-person meetings, professional development, or team collaboration activities periodically would be preferred. This full-time position is benefit- and paid leave-eligible and offers an annual salary of $70,000.
Key Job Responsibilities:
- Provides analysis of source connection options for access, identifies potential data pipelines for applicability, and develops load and/or mappings using a limited set of tools.
- Performs initial data exploration steps such as profiling, understanding data quality, binning, pivoting, summarizing, and finding correlations on structured data. May consult with data subject matter experts (SMEs) to understand and address data quality issues and ensure data is assured.
- Supports the design, build, test, and deployment of data warehouse and data mart solutions. Provides modeling analysis and develops conceptual, logical, and physical data models according to specifications and standards for document naming, security, lifecycle, and retention architectures.
- Supports the data cleaning, integration, and transformation of data in accordance with the defined target data model, based on enterprise data definitions and quality measures provided by data stewards.
- Supports the development and documentation of the inventory of data warehouse assets including adding descriptions, and making them discoverable for business use.
Why It’s Great to be a Pioneer:
The University of Wisconsin-Platteville, founded in 1866, offers associate, baccalaureate, and master’s degree programs in a broad spectrum of disciplines including: science, technology, engineering, and mathematics; criminal justice; education; business; agriculture; and liberal arts. The Platteville campus is located in Southwest Wisconsin's largest community, which has a rich history rooted in mining —particularly lead mining —dating back to the early 19th century. The region offers excellent school systems, high-quality medical and hospital facilities, outstanding recreational opportunities, and vibrant businesses and industries. UW-Platteville serves as a cultural and educational center for the Tri-State region of Illinois, Iowa, and Wisconsin.
Application Deadline:
To ensure full consideration, applications must be received by June 19, 2026 through our online career site. Applications will be accepted until the position has been filled.
The following documents are required for applicant consideration:
- Letter of application addressing all required qualifications
- A current resume
Requirements
Required Qualifications:
- Bachelor’s degree in a related field such as data science/data analytics, math, computer science, information technology; OR
- Associate or bachelor's degree in any field with 3–5 years relevant professional experience with data transformation and data architecture, data warehousing, data analytics, ETL processes, SQL development, or related technical work; OR
- High school diploma/GED plus 5 or more years of directly related professional experience in data transformation and data architecture, data warehousing, data analytics, ETL processes, SQL development, or related technical work.
- Excellent analytic and problem-solving skills with attention to detail.
- Willingness to learn new methods and software packages.
- Aptitude for pattern recognition and recreation.
- Good communication of technical issues.
- Demonstrated ability to understand the connection between data and business processes.
- Experience with SQL or similar query languages.
