3M Logo

3M

Lead Data Engineer

Posted Yesterday
Remote
Hiring Remotely in Minnesota, USA
188K-230K Annually
Senior level
Remote
Hiring Remotely in Minnesota, USA
188K-230K Annually
Senior level
Lead the architecture, development, and optimization of scalable data platforms and pipelines for AI/ML applications. Own ingestion, transformation, storage, quality, monitoring, governance, and compliance processes across batch and real-time environments. Collaborate with data scientists and ML engineers on features, training pipelines, and deployment; establish modeling, orchestration, versioning, and performance practices; contribute to technical roadmaps; and mentor junior engineers.
The summary above was generated by AI

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

  • 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.
  • Drive best practices in data modeling, orchestration, versioning, and performance optimization.
  • Mentor and guide junior engineers; contribute to technical roadmaps and solution patterns.
  • Ensure data governance, lineage, and compliance standards are met across platforms.
  • Support real time and batch processing frameworks in production environments.

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.

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.
  • Hands on experience with cloud platforms (Azure preferred — Data Lake, Data Factory, Databricks, Cosmos DB).
  • 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.
  • Experience with streaming platforms (Kafka, Event Hub).
  • Familiarity with vector databases, embeddings, or LLM oriented data pipelines.
  • Background in DevOps, CI/CD, or infrastructure as code.
  • 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

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


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

All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.

Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.

Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.

Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.Pay & Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/

3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

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.

3M Global Terms of Use and Privacy Statement

Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms.

Please click on the following links and select the country where you are applying for employment to review the applicable Terms of Use (link here) and Privacy Policy (link here). Before submitting your application, you will be asked to confirm your agreement with the terms.

Similar Jobs

Yesterday
In-Office or Remote
40 Locations
105K-244K Annually
Senior level
105K-244K Annually
Senior level
Aerospace • Security • Cybersecurity • Industrial
Leads the design, development, governance, and productization of enterprise data models, pipelines, data products, and ontologies. Builds machine-learning-ready datasets, implements security and lineage controls, optimizes Databricks and Delta Lake environments, establishes data-product standards, collaborates with architects and data scientists, and mentors engineering talent. The role also defines product roadmaps, service levels, usage metrics, and continuous-improvement processes for enterprise data assets supporting AI agents, analytics, and applications.
Top Skills: Apache AirflowApache NifiSparkCloud IamDatabricksDelta LakeFeature StoresGenerative AiMachine Learning PipelinesPysparkPythonScalaSQLUnity Catalog
13 Days Ago
Remote
USA
170K-190K Annually
Senior level
170K-190K Annually
Senior level
Information Technology
Lead enterprise data engineering efforts supporting defense missions. Responsibilities include prioritizing technical tasks, mentoring engineers, conducting code reviews, translating government requirements into scalable data architectures, developing Databricks ETL/ELT pipelines with Python, PySpark, and SQL, troubleshooting pipeline performance and reliability, and documenting systems. The role collaborates with government stakeholders, product owners, data scientists, analysts, and technical teams to deliver secure, high-throughput data platforms and actionable insights.
Top Skills: SparkDatabricksGitlabJIRAPysparkPythonSQL
22 Days Ago
Remote
United States
Senior level
Senior level
Database • Analytics
Leads the design, development, optimization, and migration of modern data platforms in Snowflake. Builds pipelines with dbt, Python, and cloud services; gathers client requirements; creates solution designs and project plans; advises on Snowflake performance, cost, security, and workload management; integrates BI, governance, and AI/ML tools; contributes to accelerators and mentors junior engineers. The role is remote, client-facing, consultative, and focused primarily on technical delivery rather than sales.
Top Skills: Apache AirflowAWSAzureCloverdxDbtFivetranGoogle Cloud PlatformInformaticaLookerPower BIPythonSnowflakeSnowparkSnowpipeSQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account