Lead Data Engineer

🔥 20 minutes ago

❄️ 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.

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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; 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 • Comply with corporate policies, procedures, and security standards • Contribute to a strong Environmental Health and Safety culture by following safety policies, identifying hazards, and engaging in continuous improvement

🎯 Requirements

• 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 • 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 • Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status) • Education and work history must be provided in the application

🏖️ Benefits

• Medical, Dental & Vision • Health Savings Accounts • Health Care & Dependent Care Flexible Spending Accounts • Disability Benefits • Life Insurance • Voluntary Benefits • Paid Absences • Retirement Benefits • Up to 5% primarily domestic travel • Remote work arrangement

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