Data Warehouse Engineer

University of Wisconsin-Madison
Milwaukee, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Intermediate
Compensation
$ 93K

Job location

Remote
Milwaukee, United States of America

Tech stack

Data analysis
Unit Testing
Code Review
Data Cleansing
Information Engineering
ETL
Data Profiling
Data Warehousing
Database Queries
Oracle Applications
Cloud Services
Standard Sql
PL-SQL
SQL Databases
Informatica Powercenter
Information Technology
Data Management
Physical Data Models
Data Pipelines
Redshift

Job description

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., * 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

Requirements

Employees at UWM in the Department of University IT Services work in an innovative, collaborative, and casual-work environment with flexible work/life balance schedules. If you are a motivated, results-oriented individual who wants to make a real difference with our team, community, and the campus, we encourage you to apply!, * 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.
  • This position offers a hybrid-flexible schedule, with a minimum expectation of one on-campus day per week during the initial training and onboarding period to support effective integration and collaboration. As the employee becomes fully established in the role, additional 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 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

Preferred Qualifications

  • 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

Benefits & conditions

Pulled from the full job description

  • Paid holidays
  • Flexible schedule, Target Salary Range: $85,000-$93,000 annually

Benefits and Total Rewards

As part of UWM's commitment to supporting the success of our team members through positive experiences, employees are provided with Benefits to Benefit You and Your Life. UWM offers a comprehensive benefits package and contributes towards the cost of several benefit plans. Employees with a qualifying position also receive an extensive leave package including vacation, sick leave (with no expiration), personal holiday, and paid legal holidays.

About the company

UWM is a State agency and subject to Wisconsin's Open Records Law. UWM will not, however, reveal the identities of applicants who request confidentiality in writing except as may be required by Wisconsin's Open Records law. In certain circumstances, the identities of "final candidates" and/or the identity of the appointed applicant must be revealed upon request. CBC and Reference Check Policy Employment will require a criminal background check. UWM takes the prevention of sexual misconduct seriously. As such, you and your references will be required to answer questions regarding any past findings of sexual violence and sexual harassment or any pending allegations of sexual violence or sexual harassment.

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