Data Engineer - IT Data Analytics Team
About The Position
The Data Engineer will design, build, and support scalable data solutions for 3M’s IT Data Analytics team. The role develops and optimizes data pipelines, data lake and data warehouse assets, ETL/ELT processes, and CI/CD-enabled deployments to support enterprise analytics and data products. The Data Engineer partners with analytics, product, business, and technology teams to deliver reliable, secure, and reusable data products that enable reporting, insights, and decision-making across 3M. The position is based in Maplewood, Minnesota, and requires working onsite at least four days per week. Travel may be up to 10%. Relocation assistance may be authorized. Applicants must be legally authorized to work in the country of employment without employment visa sponsorship.
Requirements
- Bachelor’s degree or higher, completed and verified prior to start.
- Five years of IT experience in Data Analytics, with experience in data engineering, data warehouse development, data pipelines, or data platform configuration in a private, public, government, or military environment.
- Legally authorized to work in the country of employment without sponsorship for employment visa status.
Nice To Haves
- 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.
- Knowledge of SAP S/4HANA, SAP BW on HANA, or SAP HANA.
- AWS stack experience, including services supporting data lake, storage, compute, orchestration, and analytics workloads.
- Databricks experience, 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.
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.
- Comply with corporate policies, procedures, and security standards while performing assigned duties.
- Contribute to a strong Environmental Health and Safety culture by following safety policies, identifying hazards, and engaging in continuous improvement.
Benefits
- Medical, dental, and vision benefits.
- Health Savings Accounts.
- Health Care and Dependent Care Flexible Spending Accounts.
- Disability benefits.
- Life insurance.
- Voluntary benefits.
- Paid absences.
- Retirement benefits.
- Relocation assistance may be authorized.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
