Lead Data Engineer — AI/ML Pipelines (Remote, US)

3M; United States; Remote; USD 188,000 - 230,000; Full time

Benefits offered by this job

Medical, Dental & Vision

Health Savings Accounts

Disability Benefits

Life Insurance

Retirement Benefits

Paid Absences

Job summary

3M seeks a Lead Data Engineer to design and optimize data platforms powering AI/ML applications. You will lead scalable data pipelines, oversee ingestion, transformation, storage, quality, and monitoring, and mentor junior engineers.

The role requires 7+ years in data engineering, a CS degree, and hands-on Python/SQL with Spark, Databricks, and cloud data services. Remote work in the US is supported, with travel up to 5% and a competitive compensation range.

Qualifications

• Bachelor’s degree in computer science or higher.
• 7+ years of data engineering experience, including leading technical initiatives.
• Strong Python and SQL skills with distributed data systems experience.

Responsibilities

• Lead architecture and development of scalable, secure data pipelines for AI/ML workloads.
• Own end-to-end data engineering processes: ingestion, transformation, storage, quality, monitoring.
• Mentor junior engineers and drive technical roadmaps and best practices.

Skills

Python

SQL

Distributed data systems

Azure

ML/AI pipelines

Airflow

Data modeling

Communication

Education

Bachelor’s degree in Computer Science

Tools

Spark

Databricks

Synapse

Airflow

Kafka

Job description

3M seeks a Lead Data Engineer to design and optimize data platforms powering AI/ML applications. You will lead scalable data pipelines, oversee ingestion, transformation, storage, quality, and monitoring, and mentor junior engineers.

The role requires 7+ years in data engineering, a CS degree, and hands-on Python/SQL with Spark, Databricks, and cloud data services. Remote work in the US is supported, with travel up to 5% and a competitive compensation range.