8 days ago
Remote, United StatesStaff+
Base Salary
$188k - $230k/yr
Responsibilities
- Lead the architecture and development of scalable, secure data pipelines supporting AI/ML workloads.
- Own end-to-end data engineering processes including ingestion, transformation, storage, data 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 junior engineers and 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.
Requirements
- Bachelor's degree or higher in computer science, completed and verified before starting.
- Seven years of data engineering experience, including leading technical initiatives.
- Strong expertise in Python, SQL, and distributed data systems such as Spark, Databricks, and Synapse.
- Experience building AI/ML-ready data pipelines, feature stores, and model training data flows.
- Hands-on experience with cloud platforms, particularly Azure services including Data Lake, Data Factory, Databricks, and Cosmos DB.
- Understanding of ML concepts, the ML lifecycle, and MLOps practices.
- Experience with workflow orchestration tools such as Airflow, Data Factory, and Synapse Pipelines.
- Experience with streaming platforms such as Kafka and 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.
- Strong communication skills and the ability to translate business needs into technical solutions.
Benefits
- Remote work in the U.S.
- May include up to 5% primarily domestic travel.
- Relocation is not authorized.
- Benefits may include medical, dental and vision coverage, health savings accounts, flexible spending accounts, disability benefits, life insurance, paid absences, retirement benefits, and voluntary benefits.
- The posting date range is November 4, 2026 to December 4, 2026, or until filled.
Tech Stack
Categories
Data Engineering
About 3M
3M makes materials, components, and consumer goods used in manufacturing, healthcare, electronics, transportation, and home/office settings. Its portfolio spans adhesives and tapes (e.g., Scotch and Post-it brands), abrasives, filtration, personal protective equipment, and specialty materials sold to businesses and consumers through distributors and retail channels. Founded in 1902 and headquartered in St. Paul, Minnesota, 3M is a public company listed on the NYSE with global R&D and manufacturing operations.