Data Engineer Sr.

Donaldson Company; BLOOMINGTON (MN); Híbrido; USD 92 000 - 116 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health benefits

401k

Paid time away

Parental leave

Resumo da oferta

Donaldson Company is seeking a Data Integration Engineer to design, develop, and maintain data integration solutions across the Mobile Solutions Americas. You will bridge business needs with enterprise technology, building scalable ETL/ELT pipelines and integrations to enable trusted data for analytics and revenue decisions.

The role collaborates with data scientists, analysts, and stakeholders, utilizing Snowflake and Informatica Cloud, and requires a hybrid schedule at our Bloomington office.

Qualificações

• Bachelor's degree in Computer Science, Information Technology, MIS, Engineering, or related field.
• 5+ years in Data Warehousing, Data Integration, or Data Engineering.
• Hands‑on experience with one or more ETL/ELT platforms.
• Experience with data analysis, requirements gathering, and data mapping.
• Experience with SQL development including Oracle SQL and PL/SQL.
• U.S. Citizenship required.

Responsabilidades

• Design, develop, and support data integration apps with Informatica Cloud.
• Build and maintain scalable ETL/ELT pipelines for analytics.
• Develop integrations between enterprise apps, databases, cloud platforms, and external data sources.
• Test and optimize complex mapping tasks and data movement processes.
• Develop trusted and reusable data assets for business users.
• Partner with analysts and data scientists to translate requirements into scalable data solutions.
• Enable analytics, forecasting, reporting, and self‑service BI across the organization.
• Ensure data is timely, accurate, and accessible for decision‑making.
• Participate in requirements gathering, data analysis, and data mapping with stakeholders.
• Administer Informatica Cloud services and Snowflake environments.
• Provide L1/L2 support for ETL/ELT processes and platform operations.

Conhecimentos

ETL/ELT pipelines

SQL development

Data integration

Data governance

Cloud platforms

Informatica Cloud

Formação académica

Bachelor's degree in CS/IT/MIS/Engineering

Ferramentas

Snowflake Cloud

Azure

AWS

CI/CD tools

Descrição da oferta de emprego

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, 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.

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.