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Data Engineer Sr

Job in Bloomington, Hennepin County, Minnesota, USA
Listing for: Donaldson Company
Full Time position
Listed on 2026-09-07
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 92400 - 115500 USD Yearly USD 92400.00 115500.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer Sr.

Donaldson is committed to solving the world’s most complex filtration challenges. Together, we make cool things. As an established technology and innovation leader, we are continuously evolving to meet the filtration needs of our changing world. Join a culture of collaboration and innovation that matters and a chance to learn, effect change, and make meaningful contributions at work and in communities.

Data

Integration Engineer Position Summary

The Data Integration Engineer is responsible for designing, developing, and maintaining data integration solutions that enable trusted, scalable, and actionable data across the Mobile Solutions Americas (MSA) business. As a member of the MSA Business Insights team, this role will support the organization's vision to transform how we drive growth by embedding intelligence into every revenue decision and its mission to enable data-driven revenue decisions through actionable insights, scalable analytics, and trusted intelligence.

This position reports directly within the MSA business organization and has a dotted-line relationship with the IT Manager responsible for Enterprise Data Engineering to ensure alignment with enterprise architecture, governance standards, security requirements, and best practices. Working closely with Data Scientists, Business/Data Analysts, and business stakeholders, the Data Integration Engineer will develop and maintain the data infrastructure, pipelines, and integrations that power business reporting, analytics, forecasting, and advanced data science initiatives.

The role serves as a critical bridge between business needs and enterprise technology capabilities, ensuring that data is accessible, accurate, secure, and reliable. The technical domain of this position includes Snowflake Cloud Data Platform, Informatica Intelligent Cloud Services (IICS), enterprise application integrations, data replication, API management, and modern data engineering technologies. This is a highly collaborative, hands‑on role that partners with Enterprise IT, Database Administrators, Infrastructure teams, Enterprise Architecture, and business stakeholders to deliver scalable data solutions that support growth and operational excellence.

Key Responsibilities
  • Data Integration & Engineering Design, develop, and support data integration applications and infrastructure utilizing Informatica Intelligent Cloud Services and related technologies to process large volumes of enterprise data.
  • Build, optimize, and maintain scalable ETL/ELT pipelines that support analytics, reporting, and business intelligence initiatives.
  • Develop and maintain integrations between enterprise applications, databases, cloud platforms, and external data sources.
  • Create, test, troubleshoot, and optimize complex mapping tasks, task flows, and data movement processes to improve reliability and performance.
  • Support the ongoing evolution of the MSA analytics ecosystem by developing trusted and reusable data assets for business users.
  • Business Insights Enablement Partner with Data Scientists and Business/Data Analysts to understand business requirements and translate them into scalable data solutions.
  • Enable advanced analytics, forecasting, reporting, and self‑service business intelligence capabilities across the MSA organization.
  • Support revenue growth initiatives by ensuring timely, accurate, and accessible data for decision‑making.
  • Participate in requirements gathering, data analysis, data mapping, and solution design activities with business stakeholders.
  • Platform Administration & Support Administer and maintain Informatica Cloud services, Snowflake environments, and associated platform components.
  • Configure and manage agent servers, authentication protocols, encryption standards, system connections, and performance parameters.
  • Perform platform administration activities including user provisioning, security management, permissions, license management, and environment monitoring.
  • Provide Level 1 and Level 2 support for ETL/ELT processes and data platform operations, ensuring data availability and operational stability.
  • Governance, Security & Architecture Partner with Enterprise Data Engineering…
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