Data Engineer Sr

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 Engineer Sr. is responsible for designing, developing, and maintaining data integration solutions that enable trusted, scalable, and actionable data across Donaldson businesses, initially focused on the Mobile Solutions Americas (MSA). As a member of Enterprise Data Engineering 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.

Working closely with Data Scientists, Business/Data Analysts, and business stakeholders, the Data 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, ETL / ELT Tools, API management, and modern data engineering technologies. This is a highly collaborative, hands-on role that partners with platform Administrators, Infrastructure teams, Enterprise Architecture, and business stakeholders to deliver scalable data solutions that support growth and operational excellence. Qualified candidates must be able to work a hybrid schedule at our Bloomington office/facility.

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 and IT teams to ensure solutions align with enterprise standards, architecture principles, and governance requirements.

Design and implement secure data access controls and support compliance with Information Security Management policies and procedures.

Participate in metadata management, data quality initiatives, and data governance programs.

Contribute to architecture reviews, code reviews, and design reviews to ensure solutions are supportable, maintainable, and scalable.

Innovation & Continuous Improvement Participate in proof-of-concept activities for emerging technologies, analytics…