Remote Lead Data Engineer for AI/ML Pipelines

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

Benefits offered by this job

Medical

Dental & Vision

Health Savings Accounts

Flexible Spending Accounts

Disability Benefits

Life Insurance

Paid Absences

Retirement Benefits

Job summary

3M is seeking a Lead Data Engineer to design, build, and optimize data platforms powering advanced analytics and AI/ML applications. You will lead engineering efforts across ingestion, transformation, storage and monitoring, while collaborating with data scientists on features and deployment.

The role requires strong Python/SQL skills, cloud experience (Azure preferred), and a track record of leading data initiatives in complex environments. Remote in the US with travel ~5%.

Qualifications

• Bachelor's degree or higher in Computer Science (completed and verified prior to start).
• 7+ years of data engineering experience, including leading technical initiatives in private/public/government or military environments.

Responsibilities

• Lead architecture and development of scalable, secure data pipelines for AI/ML workloads.
• Own end-to-end data engineering: ingestion, transformation, storage, quality, monitoring.
• Collaborate with data scientists on model features, training pipelines and deployment.
• Drive best practices in data modeling, orchestration, versioning, and performance.
• Mentor junior engineers; contribute to technical roadmaps and patterns.
• Ensure data governance, lineage and compliance across platforms.
• Support real-time and batch processing in production environments.

Skills

Python

SQL

Distributed data systems

Azure cloud

ML/AI pipelines

Data governance

Communication

Streaming platforms

DevOps / CI/CD

Vector databases / embeddings

Education

Bachelor's degree in Computer Science or higher

Tools

Spark

Databricks

Synapse

Airflow

Data Factory

Cosmos DB

Kafka

Event Hub

Job description

3M is seeking a Lead Data Engineer to design, build, and optimize data platforms powering advanced analytics and AI/ML applications. You will lead engineering efforts across ingestion, transformation, storage and monitoring, while collaborating with data scientists on features and deployment.

The role requires strong Python/SQL skills, cloud experience (Azure preferred), and a track record of leading data initiatives in complex environments. Remote in the US with travel ~5%.