Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads.
Implement automation and operationalize ML models workflows that streamline operational processes, reduce manual work, and improve system efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Implement data quality, observability, and governance frameworks to ensure reliable, well-managed data at scale.
Document data flows, integration contracts, and operational runbooks to support efficient scaling and handoff.

5+ years of experience in data engineering, plus hands-on exposure to machine learning, MLOps, or backend workflow automation.
Strong proficiency in SQL and Python, with experience using ML frameworks.
Deep expertise in the modern data stack, including dbt, Snowflake, and Looker/Omni. Experience with Kafka or Flink is a plus.
Strong understanding of semantic layer design, dimensional modeling, and data architecture best practices.
Broad knowledge of data governance, data quality, observability, and analytics/security best practices.
Experience building products using LLMs, embeddings, and other ML technologies, including hands-on work with Snowflake Cortex for generative AI, recommendations, or forecasting.
Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively across global and cross-functional teams.

401(k) match plus dental, medical, vision, and life insurance.
Flexible vacation day policy.
Fully remote with a monthly work from home stipend.
Family planning resources and specialized support programs.
Equity: get ahead on the ground floor and grow with Boulevard.
Boulevard Bucks Learning and Development program allows employees to explore businesses in the market we serve.

Senior Data, ML Engineer

Key skills