Lead Data Engineer

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.