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Working Title: Information Technology Spec 5 - Data Engineer and Analyst Job Class: Information Technology Specialist 5 Agency: Minnesota State - Job ID: 95722
- Location: St. Paul
- Telework Eligible: Yes
- Full/Part Time: Full-Time
- Regular/Temporary: Unlimited
- Who May Apply: Open to all qualified job seekers
- Date Posted: 07/22/2026
- Closing Date: 08/05/2026
- Hiring Agency/Seniority Unit: MN St Colleges & Universities / MNSCU Central Office-MAPE
- Division/Unit: MnSCU System Office / MNSCU OOC Classified A - E
- Appointment Type: Unlimited, Full-time
- Work Shift/Work Hours: Day Shift
- Days of Work: Monday - Friday
- Travel Required: No
- Salary Range: $40.43 - $69.11 / hourly; $84,417 - $144,301 / annually
- Job Class Option: Application
- Classified Status: Classified
- Bargaining Unit/Union: 214 - MN Assoc of Professional Empl/MAPE
- FLSA Status: Exempt - Professional
- Designated in Connect 700 Program for Applicants with Disabilities : Yes
Job Description This position exists to design, build, and support enterprise data integrations and analytics-ready data products that power operational reporting and decision-making across Minnesota State Colleges and Universities. The Data Engineer and Analyst ensures that data needed for analytical and operational use cases is extracted, transformed,validated, and delivered securely, reliably, and cost-effectively using repeatable engineering practices.
Minimum Qualifications - Six (6) years of progressive enterprise experience in dataengineering/softwaredevelopment using multiple technologies, including cloud data platforms and programming languages (e.g., Python, R, Scala) and strong SQLexperience.A bachelor's degree may substitute for one (1) year of experience.Strong programming and SQL skillsensureefficientdata transformationfor enterprise use.
- Three years ofdemonstratedexperience building and supporting enterprise data pipelines and data productsina modern cloud analytics platform(e.g., Microsoft Fabric and/or Azure Synapse), including orchestration and transformation services (e.g., Azure Data Factory and Dataflow Gen2).Experience with modern cloud platforms ensures scalable, maintainable, and cost-effective solutions aligned with enterprise architecture.
- Demonstrated experience with enterprise data extraction and replication/CDC approaches (e.g.,CDataSync and OracleGoldenGateor equivalent technologies) and selectingappropriate patternsfor batch, incremental, and near-real-time delivery.
- Proven experience developing and consuming integrations through APIsandleveragingAPI-based data access patterns.This skillensuresthe candidate can integrate across systems.
- Three years ofdemonstratedexperiencedesigning, developing, and implementingcreating and supporting BI/analytics artifacts and applying analysistovalidatedata and answer business questions.The ability to translate data into meaningful insights is essential to building trust in enterprise data products.
- Proficiencyin software testing tools and techniques for data and BI solutions, includingestablishingrobust test strategies for data pipelines, transformations, and published data/BI artifacts.
Preferred Qualification - Broad knowledge of Azure products and the Microsoft ecosystem.
- Higher education experience in a large, multi-campus, distributed higher education system.
- Understanding ofmachine learning pipelines and AI-driven data processing.
- Workday reporting experience.
How to Apply To view the full job posting and to apply please go to: https://minnstate.wd115.myworkdayjobs.com/Minnesota_State_Careers/job/St-Paul/Information-Technology-Spec-5---Data-Engineer-and-Data-Analyst_JR0000005402
Contact If you have questions about this position, contact Shane Moore at
[email protected] or 651-273-3967 .
To receive consideration as a Connect 700 Program applicant, apply online, email the Job ID#, the Working Title and your valid Proof of Eligibility Certificate by the closing date to Shane Moore at
[email protected] .
