Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Remote - Minnesota
Live, first seen by us todayFor assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers Applicable to US Applicants Only:The expected compensation range for this position is $188,251 - $230,084, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/. Good Faith Posting Date Range 11/04/2026 To 12/04/2026 Or until filledRead the full posting
Experience designing data solutions for AI applications or intelligent platforms. Work location: Remote in the US Travel: May include up to 5% primarily domestic travel
Listed location: Remote - MinnesotaRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status)
Lead architecture and development of scalable, secure data pipelines for AI/ML workloads
Own ingestion, transformation, storage, quality, and monitoring end to end
Work with data scientists and ML engineers on features, training pipelines, and deployment
Mentor junior engineers and contribute to technical roadmaps
Ensure data governance, lineage, and compliance standards are met
Lead the architecture and development of scalable, secure data pipelines supporting AI/ML workloads.
Own end to end data engineering processes: ingestion, transformation, storage, quality, and monitoring.
Collaborate with data scientists and ML engineers on model features, training pipelines, and deployment.
Mentor and guide junior engineers; contribute to technical roadmaps and solution patterns.
Ensure data governance, lineage, and compliance standards are met across platforms.
Your 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 in computer science (completed and verified prior to start) - Seven (7) years of data engineering experience, including leading technical initiatives in a private, public, government or military environment.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At 3M, jobs usually come down by about day 42.
From 11,071 similar postings that came down, and 50 of 3M’s. Coming down is not always a hire.
19 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Additional qualifications that could help you succeed even further in this role include: - Strong expertise in Python, SQL, and distributed data systems (e.g., Spark, Databricks, Synapse). - Experience building AI/ML ready data pipelines, including feature stores and model training data flows.
- Experience building AI/ML ready data pipelines, including feature stores and model training data flows. - Hands on experience with cloud platforms (Azure preferred — Data Lake, Data Factory, Databricks, Cosmos DB). - Strong understanding of ML concepts, lifecycle, and MLOps practices.
- Strong communication and ability to translate business needs into technical solutions. - Experience with streaming platforms (Kafka, Event Hub). - Familiarity with vector databases, embeddings, or LLM oriented data pipelines.
- Strong understanding of ML concepts, lifecycle, and MLOps practices. - Proven experience with workflow orchestration (Airflow, Data Factory, Synapse Pipelines, etc.). - Strong communication and ability to translate business needs into technical solutions.
Complete your application on 3m.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job Description:
Lead Data Engineer
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:
We are seeking a Lead Data Engineer with strong experience in AI/ML data pipelines, feature engineering, and scalable data architectures. This role will lead the design, development, and optimization of data platforms that power advanced analytics and machine learning applications across the organization.
Key Responsibilities
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
Additional qualifications that could help you succeed even further in this role include:
Work location: Remote in the US
Travel: May include up to 5% primarily domestic travel
Relocation: Not authorized
Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).
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 regularly benchmarks with other companies that are comparable in size and scope.
Chat with Max
For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
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For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers Applicable to US Applicants Only:The expected compensation range for this position is $188,251 - $230,084, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/. Good Faith Posting Date Range 11/04/2026 To 12/04/2026 Or until filled
Remote - Minnesota
- Experience designing data solutions for AI applications or intelligent platforms. Work location: Remote in the US Travel: May include up to 5% primarily domestic travel
Relocation: Not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being