Donaldson Company, Inc. logo

Data Engineer Sr.

Donaldson Company, Inc.

Bloomington, MN · HybridFull-time$92–116K/yrSeen 4 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$92–116K/yr
Location
Bloomington, MNHybrid
Schedule
Full-time
Work Authorization
US work authorization required

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Senior Data Engineer designs, develops, and maintains data integration solutions, initially supporting Mobile Solutions Americas. Working with data scientists, analysts, and business stakeholders, the role builds data infrastructure and pipelines for reporting, analytics, forecasting, and data science. The position uses Informatica Intelligent Cloud Services, Snowflake, ETL/ELT tools, and API management technologies to deliver reliable, secure, and scalable data solutions.

Skills & qualifications

RequiredNice to have

Skills

ETL/ELT PlatformsData AnalysisRequirements GatheringData MappingSQL DevelopmentOracle SQLPL/SQLSnowflakeMicrosoft AzureAmazon Web ServicesData IngestionData IntegrationData TransformationApplication IntegrationAPI ManagementAgile MethodologiesSDLCDevOpsCI/CDRelease ManagementUnix/LinuxRelational DatabasesNoSQL DatabasesCloud StorageIdentity ManagementNetworkingSecurity TechnologiesData GovernanceMetadata ManagementData QualityCross-Functional CollaborationWritten CommunicationVerbal CommunicationInterpersonal CommunicationPrioritizationTroubleshooting

Qualifications

Bachelor's in Computer Science or Related5+ Years Data Engineering or EquivalentU.S. CitizenshipSnowPro Core Certification or Higher

Benefits

Medical Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Job Duties

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 toworka hybrid schedule at our Bloomingtonoffice/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 capabilities, and data management solutions.

Evaluate new tools and technologies that improve integration, automation, analytics, and data management capabilities.

Recommend and implement process improvements that enhance data quality, operational efficiency, and platform performance.

Minimum Qualifications

Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Engineering, or related field.

5+ years of experience in Data Warehousing, Data Integration, or Data Engineering or equivalent combination for education and experience

Hands-on experience with one or more ETL/ELT platforms.

Experience with data analysis, requirements gathering, and data mapping for enterprise data solutions.

Experience with SQL development including Oracle SQL and PL/SQL.

U.S. Citizenship required.

Preferred Qualifications

Experience with Snowflake Data Cloud, Microsoft Azure, Amazon Web Services or similar cloud experience.

Experience with Data Management tools including Data Ingestion, Data Integration services, Data Transformation, Application Integration, and API Management tools.

Familiarity with Agile methodologies, SDLC processes, DevOps practices, CI/CD pipelines, and release management.

Familiarity with Unix/Linux environments.

Knowledge of relational and NoSQL databases, cloud storage platforms, identity management solutions, networking, and security technologies.

Strong understanding of data governance, metadata management, and data quality best practices.

Demonstrated ability to work effectively across business and technical teams.

Excellent written, verbal, and interpersonal communication skills.

Ability to manage multiple priorities and deliver results in a fast-paced environment.

Snowflake certification (SnowPro Core Certification or higher) preferred.

Ability to troubleshoot and resolve complex technical issues across integrated systems.

Annual Salary Range:$92,400-$115,500. Actual salaries will vary based on several factors including, but not limited to applicable work experience, training, education, performance.

Employee benefits are part of the competitive total rewards package that Donaldson Company, Inc. provides to you. Our comprehensive benefits program includes health benefits, retirement plan (401k), paid time away, paidleaves(including paid parental leave)andmore.

Immigration Sponsorship Not Available:

Applicants for this position must be currently and legally authorized to work in the United States without the need for current or future sponsorship (e.g., H-1B, J-1, F-1, CPT, OPT, etc.).

Donaldson will not offer immigration sponsorship or assume sponsorship of an employment visa for this position.

International relocation or remote work arrangements outside of the U.S. will not be considered.

Employment opportunities for positions in the United States may require use of information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.

Donaldson Company has been made aware that there are several recruiting scams that are targeting job seekers. These scams have attempted to solicit money for job applications and/or collect confidential information, Donaldson will never solicit money during the application or recruiting process. Donaldson only accepts online applications through our Careers | Donaldson Company, Inc. website and any communication from a Donaldson recruiter would be sent using a donaldson.com email address. If you have any questions about the legitimacy of an employment opportunity, please reach out to [email protected] to verify that the communication is from Donaldson.

Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.

Donaldson is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, age, gender, religion, national origin, genetic information, protected veterans status, sex, sexual orientation, gender identity, disability status, or any other status protected under federal, state or local laws.

Minimum Education Required

Bachelor Degree

Minimum Experience Required

5 - 20 years

Shift

First (Day)

Number of Openings

1

Public Transportation Accessible

Yes

Veterans Encouraged to Apply

No

Physical Required

Yes

Drug Test Required

Yes

Compensation

$92,400.00 - $115,500.00 / Annually

Postal Code

55431

Job Type

Full Time

Place of Work

On-site

Requisition ID

JR-27678

Job Benefits

Not specified

How this job compares

Set against the 5,779 open Data Engineer jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$92–116K/yr
  • Minnesota median$112–185K/yr95 salary ranges
  • US median$124–208K/yr4,458 salary ranges

This range's midpoint, $104K, is 30% below the Minnesota median midpoint ($148K) — in the lowest quarter of Data Engineer salary ranges in Minnesota.

Openings
Olive Jobs lists 119 open Data Engineer jobs in Minnesota and 5,779 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Minnesota
Experience
This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,017 postings).
Education
2,220 of the 5,779 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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