Information Technology Spec 5 - Data Engineer and Data Analyst
Working Title:
Information Technology Spec 5 - Data Engineer and Data AnalystInstitution:
Minnesota State System OfficeClassification Title:
Bargaining Unit / Union:
214: Minnesota Association of Professional EmployeesCity:
St. PaulFLSA:
Job ExemptFull Time / Part Time:
Full timeEmployment Condition:
Classified - UnlimitedSalary Range:
$40.43 - $69.11Job 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.
Preferred Qualification
Broad knowledge of Azure products and the Microsoft ecosystem.
Higher education experience in a large, multi-campus, distributed higher education system.
Understanding of machine learning pipelines and AI-driven data processing.
Workday reporting experience.
Other Requirements
n/a
Work Shift (Hours / Days of work)
Monday - Friday, 8:00am - 4:30pm
Telework (Yes/No)
Yes
About
Minnesota State is committed to attracting, retaining, and developing talented employees who serve our 270,000 students each year throughout the state. We have a vibrant and diverse system of 33 colleges and universities with 14,567 dedicated faculty and staff focused on student success.
Benefits Information:
At Minnesota State, we take your well-being and work-life balance seriously. We offer a comprehensive benefits package that features low-cost medical and dental insurance with affordable deductibles, employer-paid life insurance, short- and long-term disability, and pre-tax healthcare and dependent care accounts with a roll-over option. To further support your holistic health, employees also have access to a confidential Employee Assistance Program (EAP) for mental health, legal, and financial counseling. Detailed plan details, rates, and coverage choices can be reviewed directly via the State Employee Group Insurance Program (SEGIP) website.
To support your life outside of work, our package includes 12 paid holidays, generous vacation and sick time, and six weeks of Paid Parental Leave. We also help you secure your financial future with a robust Pension Plan, 457(b) and 403(b) retirement accounts, and various investment options. Furthermore, we invest in your growth by providing dedicated professional development and tuition waivers for both you and your dependents. Please note that specific benefit eligibility and coverage levels may vary depending on the type of position, employee classification, and collective bargaining agreements.
Desired Start Date:
09-09-2026Position End Date:
Open Date:
07-22-2026Close Date:
08-06-2026Posting Contact Name:
Shane MoorePosting Contact Email:
[email protected]Skills Required
- Six 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.
- Bachelor's degree may substitute for one year of experience.
- Three years of 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).
- Demonstrated experience with enterprise data extraction and replication/CDC approaches (e.g., CData Sync and Oracle GoldenGate or equivalent technologies).
- Proven experience developing and consuming integrations through APIs and leveraging API-based data access patterns.
- Three years of experience designing, developing, implementing and supporting BI/analytics artifacts and applying analysis to validate data and answer business questions.
- 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.
- Broad knowledge of Azure products and the Microsoft ecosystem.
- Higher education experience in a large, multi-campus, distributed higher education system.
- Understanding of machine learning pipelines and AI-driven data processing.
- Workday reporting experience.
What We Do
Minnesota State is a public higher education system comprising 33 colleges and universities with 54 campuses across Minnesota. As the largest higher education system in the state and the third largest in the U.S., it serves over 300,000 students annually, focusing on providing high-quality, affordable education and preparing graduates for successful employment.
