# Lead Data Engineer

**Company**: 3M
**Location**: Remote - Minnesota
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $188,251 - $230,084
**Category**: Engineering
**Industry**: Manufacturing
**Wikidata**: https://www.wikidata.org/wiki/Q159433

**Apply**: https://3m.wd1.myworkdayjobs.com/en-US/Search/job/Remote---Minnesota/Lead-Data-Engineer_R01172776?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/lead-data-engineer-2a5589b1-6be/

## Description

We are seeking a Lead Data Engineer to collaborate with innovative 3Mers around the world. As a Lead Data Engineer, you 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:**

- 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.

**Work Location and Travel:**

- Remote in the US

- May include up to 5% primarily domestic travel

- Relocation: Not authorized

**Compensation and Benefits:**

- Expected compensation range: $188,251 - $230,084

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

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## Skills

### Required
- Python
- SQL
- distributed data systems
- data engineering
- machine learning

### Nice to have
- Spark
- Databricks
- Synapse
- Azure
- cloud platforms
- workflow orchestration
- streaming platforms
- vector databases
- embeddings
- LLM-oriented data pipelines
- DevOps
- CI/CD
- infrastructure as code

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Source: [Apply at 3m.wd1.myworkdayjobs.com](https://3m.wd1.myworkdayjobs.com/en-US/Search/job/Remote---Minnesota/Lead-Data-Engineer_R01172776?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)