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Data Engineer - Job Opportunity at University of Minnesota

Minneapolis, United States
Full-time
Mid-level
Posted: February 22, 2025
Hybrid
USD 95,000 - 135,000 per year based on Minneapolis market rates and higher education sector standards

Benefits

Hybrid work environment with location flexibility
Comprehensive academic institution benefits package
Professional development and mentoring opportunities
Work-life balance focus
Access to university resources and facilities

Key Responsibilities

Design and implement enterprise-level data processing channels using Oracle GoldenGate and cloud platforms
Lead data architecture transformation initiatives for PeopleSoft ERP integration
Develop and maintain secure data pipelines in Azure and Databricks environments
Provide technical mentorship and best practices guidance to team members
Manage data security and access control systems
Orchestrate cross-platform data flows between legacy and modern systems

Requirements

Education

BA/BS or Master's degree

Experience

2+ years with BA/BS, or Master's degree

Required Skills

Cloud Infrastructure Cloud Computing/Cloud Storage Data pipeline optimization Microsoft Azure Databricks Message queuing Stream processing SQL and NoSQL databases Postgres Cassandra Object-oriented programming Agile/Scrum methodologies
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Sauge AI Market Intelligence

Industry Trends

Higher education institutions are increasingly prioritizing data modernization initiatives, particularly in integrating legacy ERP systems with modern cloud platforms The shift toward hybrid cloud architectures in academic settings is creating strong demand for engineers with both traditional and cloud-native skills Data security and compliance requirements in education are becoming more stringent, driving demand for expertise in secure data handling

Role Significance

Typically part of a 5-8 person data platform team within a larger IT organization of 50-100 staff
Mid to senior-level technical position with significant architectural decision-making authority and mentorship responsibilities

Key Projects

ERP modernization and cloud migration initiatives Data lake implementation and optimization Enterprise data security framework development Cross-platform integration architecture design

Success Factors

Strong understanding of both traditional enterprise systems and modern cloud architectures Ability to bridge legacy and modern data platforms effectively Excellence in stakeholder communication across academic and technical teams Proactive security and compliance mindset

Market Demand

High demand position due to educational institutions' digital transformation initiatives and the complex skill set required combining traditional enterprise systems with modern cloud platforms

Important Skills

Critical Skills

Cloud platform expertise (Azure, Databricks) - Essential for modernization initiatives Data pipeline development - Core to role success Security and compliance knowledge - Critical in educational context

Beneficial Skills

Higher education domain knowledge Change management experience Enterprise architecture understanding

Unique Aspects

Rare opportunity to work with both legacy enterprise systems and cutting-edge cloud platforms
Academic environment offering unique challenges in data integration and analysis
Strong emphasis on knowledge sharing and professional development

Career Growth

2-3 years in role typically required before advancement, with opportunities for technical leadership roles within 3-5 years

Potential Next Roles

Lead Data Engineer Data Architecture Manager Cloud Platform Architect Enterprise Data Architect

Company Overview

University of Minnesota

The University of Minnesota is one of the largest public research universities in the US, with a comprehensive technology infrastructure supporting diverse academic and research operations

Leading public research institution with significant technology investment and innovation focus
Major employer in the Minneapolis-St. Paul metropolitan area with strong local technology community engagement
Collaborative academic environment with emphasis on work-life balance and professional development
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