Job Description:
Data Engineer - IT Data Analytics Team
Collaborate with Innovative 3Mers Around the World
Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.
This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.
The Impact You’ll Make in this Role
The Data Engineer will design, build, and support scalable data solutions for the IT Data Analytics team. This role will develop and optimize data pipelines, data lake and data warehouse assets, ETL/ELT processes, and CI/CD-enabled deployments that support enterprise analytics and data products. The individual will partner with analytics, product, business, and technology teams to deliver reliable, secure, and reusable data products that enable reporting, insights, and decision-making across 3M.
Primary Responsibilities
Design, develop, and maintain data pipelines, ETL/ELT workflows, and data integration solutions.
Build and support trusted data products, including curated datasets, reusable data assets, semantic layers, and analytics-ready data models.
Support data lake, data warehouse, and analytics platform configuration, optimization, and operations.
Apply DevOps practices, including CI/CD, version control, automated testing, and deployment automation for data engineering solutions.
Monitor data quality, pipeline performance, platform reliability, and production support processes.
Partner with product owners, analysts, architects, and stakeholders to translate business needs into scalable data solutions.
Implement security, access control, backup, recovery, documentation, and operational standards for data platforms and data products.
Troubleshoot complex technical issues and drive continuous improvement in data engineering practices, tools, and delivery standards.
Skills and Expertise
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
Bachelor’s degree or higher (completed and verified prior to start)
Five (5) years of IT experience in the Data Analytics with experience in data engineering, data warehouse development, data pipelines, or data platform configuration in a private, public, government or military environment
Additional qualifications that could help you succeed even further in this role include:
Experience with SQL, Python, ETL/ELT development, data modeling, and data quality practices.
Experience with data platforms and tools such as Snowflake, Databricks, Azure, Power BI, or similar technologies.
SAP S/4HANA , SAP BW On HANA, SAP HANA knowledge is a plus.
AWS stack experience preferred, including services supporting data lake, storage, compute, orchestration, and analytics workloads.
Databricks experience preferred, including notebook development, data engineering workflows, or lakehouse architecture.
Experience supporting data lakes, data products, analytics solutions, APIs, or integration development.
Familiarity with DevOps, CI/CD pipelines, Git-based version control, automated testing, and deployment automation.
Strong communication, problem-solving, and technical troubleshooting skills.
Ability to work independently, manage multiple priorities, and deliver results in a fast-paced environment.
Location
Maplewood, MN at least 4 days per week onsite)
Travel: May include up to 10%
Relocation Assistance: May be authorized
Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B)
Supporting Your Well-being
3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M…