Data Engineer Sr.

Donaldson•Bloomington, MN

1d•$92,400 - $115,500•Hybrid

About The Position

The Senior Data Engineer designs, develops, and maintains data integration solutions that provide trusted, scalable, and actionable data across Donaldson businesses, initially focusing on Mobile Solutions Americas (MSA). As part of the Enterprise Data Engineering Team, this role supports the organization’s efforts to embed intelligence into revenue decisions and enable data-driven decisions through actionable insights, scalable analytics, and trusted intelligence. Working with Data Scientists, Business/Data Analysts, and business stakeholders, the Data Engineer develops and maintains the infrastructure, pipelines, and integrations that power reporting, analytics, forecasting, and data science initiatives. The role connects business needs with enterprise technology capabilities and helps ensure that data is accessible, accurate, secure, and reliable. The technical domain includes Snowflake Cloud Data Platform, ETL/ELT tools, API management, and modern data engineering technologies. This is a collaborative, hands-on position partnering with platform administrators, infrastructure teams, Enterprise Architecture, and business stakeholders. Candidates must be able to work a hybrid schedule at the Bloomington office/facility.

Requirements

Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Engineering, or a related field.
At least 5 years of experience in Data Warehousing, Data Integration, or Data Engineering, or an equivalent combination of 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 developing with SQL, including Oracle SQL and PL/SQL.
U.S. citizenship is required.
Must be currently and legally authorized to work in the United States without current or future immigration sponsorship.
Must be able to work a hybrid schedule at the Bloomington office/facility.

Nice To Haves

Experience with Snowflake Data Cloud, Microsoft Azure, Amazon Web Services, or similar cloud platforms.
Experience with data management tools for data ingestion, data integration, data transformation, application integration, and API management.
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, such as SnowPro Core Certification or higher.
Ability to troubleshoot and resolve complex technical issues across integrated systems.

Responsibilities

Design, develop, and support data integration applications and infrastructure using Informatica Intelligent Cloud Services and related technologies to process large volumes of enterprise data.
Build, optimize, and maintain scalable ETL/ELT pipelines for analytics, reporting, and business intelligence.
Develop and maintain integrations among enterprise applications, databases, cloud platforms, and external data sources.
Create, test, troubleshoot, and optimize mapping tasks, task flows, and data movement processes to improve reliability and performance.
Develop trusted and reusable data assets for business users and support the evolution of the MSA analytics ecosystem.
Partner with Data Scientists and Business/Data Analysts to understand requirements and translate them into scalable data solutions.
Enable advanced analytics, forecasting, reporting, and self-service business intelligence across MSA.
Ensure timely, accurate, and accessible data to support revenue growth initiatives and decision-making.
Participate in requirements gathering, data analysis, data mapping, and solution design with business stakeholders.
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, including user provisioning, security and permissions management, license management, and environment monitoring.
Provide Level 1 and Level 2 support for ETL/ELT processes and data platform operations to maintain data availability and operational stability.
Ensure solutions align with enterprise standards, architecture principles, and governance requirements in partnership with Enterprise Data Engineering and IT teams.
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, code, and design reviews to ensure solutions are supportable, maintainable, and scalable.
Participate in proof-of-concept activities for emerging technologies, analytics capabilities, and data management solutions.
Evaluate tools and technologies that can improve integration, automation, analytics, and data management.
Recommend and implement process improvements to enhance data quality, operational efficiency, and platform performance.