Data Engineer - IT Data Analytics Team
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Job Description
The Data Engineer will join the IT Data Analytics team at 3M to design, build, and support scalable data solutions that enable enterprise analytics and data products. This role emphasizes reliable, secure, reusable data assets and includes CI/CD-enabled deployment practices.
Key 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 configuration, optimization, and operations for data lake, data warehouse, and analytics platform capabilities.
- Apply DevOps practices such as 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 support continuous improvement in data engineering practices, tools, and delivery standards.
Required 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.
Preferred and Additional Qualifications
- Experience with data platforms and tools such as Snowflake, Databricks, Azure, Power BI, or similar technologies.
- SAP S/4HANA and SAP BW On HANA or SAP HANA knowledge is a plus.
- AWS stack experience preferred, including services for 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.
Technologies
- SQL, Python
- ETL/ELT
- Snowflake, Databricks, Azure
- Power BI
- SAP S/4HANA, SAP BW On HANA, SAP HANA
- AWS
- Git-based version control
Compensation
The expected compensation range for this position is USD 109,202 - 133,469 per yearly, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position.
Location and Work Schedule
- Maplewood, MN onsite (at least 4 days per week).
- Travel: May include up to 10%.
Relocation
Relocation assistance may be authorized.
Benefits
- Medical
- Dental & Vision
- Health Savings Accounts
- Health Care & Dependent Care Flexible Spending Accounts
- Disability Benefits
- Life Insurance
- Voluntary Benefits
- Paid Absences and Retirement Benefits
Additional Policy Information
- All US-based 3M full time employees must sign an employee agreement as a condition of employment with 3M, including key terms on using 3M Confidential Information and Trade Secrets, provisions discussing conflicts of interest and how inventions are assigned, and potential obligations related to not competing or soliciting employees or customers for certain job grades.
- Safety is a core value at 3M. All employees are expected to contribute to an Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.
Application Notice
Your application may not be considered if you do not provide your education and work history by either uploading a resume or entering the information into the application fields directly.
Posting Dates
Good faith posting date range: 11/02/2026 to 12/02/2026 or until filled.
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