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Data Engineer Senior

Pay
$92,400–115,500/year — pay source
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, paid leaves (including paid parental leave) and more.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
US citizens onlyUS Citizenship required

What you’ll work on

Full posting

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 technical domain of this position includes Snowflake Cloud Data Platform, ETL / ELT Tools, API management, and modern data engineering technologies.

  • Build and maintain ETL/ELT pipelines for analytics and reporting

  • Develop integrations between enterprise apps, databases, cloud and external sources

  • Administer Informatica Cloud and Snowflake environments, including users and security

  • Provide Level 1 and Level 2 support for ETL/ELT and data platform operations

  • Translate business requirements into data solutions with analysts and data scientists

From the employer’s posting
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.
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.
Administer and maintain Informatica Cloud services, Snowflake environments, and associated platform components.
Provide Level 1 and Level 2 support for ETL/ELT processes and data platform operations, ensuring data availability and operational stability.
Partner with Data Scientists and Business/Data Analysts to understand business requirements and translate them into scalable data solutions.

What you’ll bring

All qualifications

Core experience

  • 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.

Preferred experience

  • 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.
Qualification wording
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.
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.
Apply at Donaldson Company

Posting record

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Status in our records
Live
First seen by us
Sep 5, 202660 days ago
Recorded sightings
10
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$92.4K–$116K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 60

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 10,764 similar postings that came down. Coming down is not always a hire.

Donaldson Company is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Azure
  • NoSQL
  • Oracle
  • Snowflake
  • AWS
Where the posting names them
- 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 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.
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
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.
- 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.

Your next step

Complete your application on donaldson.wd115.myworkdayjobs.com. The employer’s form will show what is required.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 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, paid leaves (including paid parental leave) and more. 

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 talentacquisition@donaldson.com 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.

Source details

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Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
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, paid leaves (including paid parental leave) and more.
Location & working pattern

Bloomington, MN (USA)

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
More source context
- 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.
Work authorization
- Experience with SQL development including Oracle SQL and PL/SQL. - U.S. Citizenship required. Preferred Qualifications
More source context
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, paid leaves (including paid parental leave) and more. 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.

More relevant text appears in the full description.

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