Senior Data Engineer - Data Integrations 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. We are actively seeking a skilled and motivated Senior Data Engineer - Data Integrations to join our Corporate Technology Data Engineering team at Donaldson. This critical role will contribute to the development and sustainability of our data infrastructure, supporting a wide range of research and development initiatives, sensor-based systems, and modeling technologies. In this role, you will design, build, and maintain robust data pipelines that integrate complex datasets, enabling accurate, timely, and trustworthy data access for engineers and scientists. Your work will directly support faster, data-driven decision making across the organization. Ideal candidates must be able to work at our Bloomington, MN office on a hybrid schedule. Role Responsibilities: Architect and implementation of the R&D data platform for structured, semi-structured, and streaming data. Develop scalable ETL/ELT pipelines that integrate data from a variety of sources (i.e. form-based entries, SQL databases, Snowflake, SharePoint) Implement data versioning, schema evolution, and governance controls. Administer Snowflake environments for cloud analytics. Define and enforce data quality, validation, and lineage across the platform. Work with CI/CD to automate deployment, testing, and monitoring of data pipelines. Develop and implement orchestration and metadata management Work closely with infrastructure, security, and business analysts to align platform capabilities with high value business needs. Stay updated with the latest data engineering technologies and trends. Participate in code reviews and knowledge sharing sessions. Minimum Qualifications: Bachelor's or higher degree in computer science, data engineering, or related field. 5+ years of experience in data engineering or platform engineering roles. Prior working experience in data warehouse and data lake technologies (e.g. Snowflake, Databricks, Amazon Redshift, Google BigQuery, Microsoft Azure Synapse). Working experience in building data architectures and pipelines with high reliability and performance. Demonstrated expertise in security, networking, and access control. Hands-on experience managing RBAC across on-premise and cloud environments and experience with cloud security best practices and tools (e.g. Azure, AWS). Preferred Qualifications: Experience with Streamlit and Snowflake Experience with Kubernetes. Familiarity with Azure DevOps and Git. Understanding of medallion architecture data design pattern. Strong communication and presentation skills. Comfortable working in a hybrid data architecture, spanning on-premise and cloud. Annual Salary Range: $86,200 - 111,000. 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.