2857 Global It Data Platform Engineering jobs in Saint Paul,MN

Data Governance & People Support

GEA

Saint Paul, MN 55106

Strong knowledge of HR data management, data accuracy controls, and organizational governance.
Experience working with HRIS/ERP systems, preferably Workday.
Strong analytical mindset with the ability to interpret workforce data and translate it into actionable insights.
Experience in regional or multinational environments,
Strong stakeholder management and communication skills, with the ability to work across countries, functions, and leadership levels.
Fluency in English is required.
Proven experience in job grading, salary structure management, and application of corporate reward policies.
Sound understanding of compensation, benefits governance, grading methodologies, and salary structures.
High attention to detail and strong problem-solving capabilities.
Advanced Excel and reporting skills.
Ability to manage sensitive and confidential information with discretion.
Applicants must be authorized to work in the U.S. without current or future sponsorship.
Bachelor's degree in Human Resources, Business Administration, Industrial Engineering, Data Analytics, Finance, or a related field.
Proactive, structured, and solution-oriented approach.
Solid experience in HR, with strong exposure to Reward, Compensation & Benefits, HR data governance, workforce analytics, and organizational management.

Revolution Technologies

Minneapolis, MN 55401

RBA

Minneapolis, MN 55401

Westinghouse Electric Company

Minneapolis, MN 55401

Quality Custom Distribution

Saint Paul, MN 55113

Trane Technologies

Saint Paul, MN 55110

Experience collaborating within cross-functional Agile teams and effectively communicating technical concepts
Proven full stack engineering expertise with React for front-end and Python or Node.js for back-end development
Extensive experience with AWS or other major cloud platforms (Azure, GCP), including leveraging managed services for scaling, security, and automation
Working knowledge of big data, analytics platforms, and columnar databases
Proficiency with DevOps tools and practices (CI/CD, Docker, Kubernetes, infrastructure as code, cloud monitoring)
Stay up to date with emerging technologies, frameworks, and trends in AI, cloud, and full stack development
Bachelor's or Master's degree in Computer Science, Engineering, or STEM related field
5+ years of hands-on software development experience, including building, testing, and deploying cloud-native solutions
Strong UI development skills, with a demonstrated ability to deliver user-friendly, accessible, and responsive web interfaces
Solid background in application security best practices within a cloud environment