Jobs and Careers

Information Technology Spec 5 - Data Engineer and Data Analyst

Minnesota State Colleges and Universities

Minneapolis, United Statesfull_timeVerifiedPosted 22 Jul 2026

💰 $144,302/yr($84,418/yr – $144,302/yr)

About the role

All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).

Working Title:

Information Technology Spec 5 - Data Engineer and Data Analyst

Institution:

Minnesota State System Office

Classification Title:

Information Technology Spec 5

Bargaining Unit / Union:

214: Minnesota Association of Professional Employees

City:

St. Paul

FLSA:

Job Exempt

Full Time / Part Time:

Full time

Employment Condition:

Classified - Unlimited

Salary Range:

$40.43 - $69.11

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.

Salary Range:

$40.43 - $69.11/hourly ($84,418 - $144,302/annually)

Minimum Qualifications

Six (6) years of progressive enterprise experience in data engineering/software development using multiple technologies, including cloud data platforms and programming languages (e.g., Python, R, Scala) and strong SQL experience. A bachelor’s degree may substitute for one (1) year of experience. Strong programming and SQL skills ensure efficient data transformation for enterprise use.
Three years of demonstrated experience building and supporting enterprise data pipelines and data products in a 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., CData Sync and Oracle GoldenGate or equivalent technologies) and selecting appropriate patterns for batch, incremental, and near–real-time delivery.
Proven experience developing and consuming integrations through APIs and leveraging API-based data access patterns. This skill ensures the candidate can integrate across systems.
Three years of demonstrated experience designing, developing, and implementing creating and supporting BI/analytics artifacts and applying analysis to validate data and answer business questions. The ability to translate data into meaningful insights is essential to building trust in enterprise data products.
Proficiency in software testing tools and techniques for data and BI solutions, including establishing robust test strategies for data pipelines, transformations, and published data/BI artifacts.