Lead AI/ML Data Engineer — Remote (US)

3M; Minnesota; Hybrid; USD 188,000 - 230,000; Full time

Benefits offered by this job

Medical benefits

Health Savings Accounts

Retirement benefits

Job summary

3M is seeking a Lead Data Engineer to design, build, and optimize data platforms powering advanced analytics and machine learning across the organization. You will lead architectural decisions, collaborate with data scientists, and mentor junior engineers while ensuring governance and security.

The role emphasizes end-to-end data engineering, feature stores, and scalable pipelines on cloud platforms (Azure preferred). Remote in the US with up to 5% travel.

Qualifications

• Bachelor's degree or higher in computer science (completed and verified before start).
• Seven (7) years of data engineering experience, including leading technical initiatives.
• Strong expertise in Python, SQL, and distributed data systems (e.g., Spark, Databricks, Synapse).
• Experience building AI/ML ready data pipelines, feature stores, and model training data flows.

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 across platforms.
• Support real time and batch processing frameworks in production environments.

Skills

Python

SQL

Distributed systems

Spark

Databricks

Synapse

ML pipelines

Airflow

Kafka

Event Hub

Vector databases

DevOps

CI/CD

Infrastructure as code

Feature stores

Education

Bachelor's degree in Computer Science

Tools

Databricks

Synapse

Airflow

Cosmos DB

Job description

3M is seeking a Lead Data Engineer to design, build, and optimize data platforms powering advanced analytics and machine learning across the organization. You will lead architectural decisions, collaborate with data scientists, and mentor junior engineers while ensuring governance and security.

The role emphasizes end-to-end data engineering, feature stores, and scalable pipelines on cloud platforms (Azure preferred). Remote in the US with up to 5% travel.