Lead Data Engineer

🕒 June 20

❄️ Minnesota – Remote

❄️ Minnesota – Remote

💵 $188.3k - $230.1k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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3M

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1902

🏭 Manufacturing

🏥 Healthcare

🚘 Automotive

Manufacturing • Healthcare • Automotive

3M is a global innovation company that operates in a multitude of sectors, offering a diverse range of products such as abrasives, adhesives, advanced materials, automotive parts, dental products, electrical components, medical supplies, personal protective equipment, and much more. Known for its commitment to science and innovation, 3M is constantly working on developing solutions that address global challenges, including sustainability efforts aimed at achieving carbon neutrality and reducing water usage. With a focus on solving both big and small problems, 3M leverages its vast portfolio of over 100,000 patents to deliver practical solutions across various industries, from healthcare and electronics to transportation and safety.

📋 Description

• 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 • Ensure data governance, lineage, and compliance standards are met across platforms • Support real time and batch processing frameworks in production environments

🎯 Requirements

• Bachelor's degree or higher in computer science from an accredited institution • Seven (7) or more years of data engineering experience • Strong expertise in Python, SQL, and distributed data systems (e.g., Spark, Databricks, Synapse) • Experience building AI/ML ready data pipelines • Hands-on experience with cloud platforms (Azure preferred) • Strong understanding of ML concepts • Proven experience with workflow orchestration (Airflow, Data Factory, Synapse Pipelines, etc.) • Experience with streaming platforms (Kafka, Event Hub) • Background in DevOps, CI/CD, or infrastructure as code

🏖️ Benefits

• Medical, Dental & Vision • Health Savings Accounts • Health Care & Dependent Care Flexible Spending Accounts • Disability Benefits • Life Insurance • Voluntary Benefits • Paid Absences • Retirement Benefits