Senior Data/ML Engineer

5+ years of experience in data engineering. Hands-on exposure to machine learning, MLOps, or backend workflow automation. Strong proficiency in SQL and Python. Experience using ML frameworks. Deep expertise in the modern data stack (dbt, Snowflake, 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. Hands-on work with Snowflake Cortex for generative AI, recommendations, or forecasting. Excellent problem-solving, communication, and collaboration skills.

Extend, optimize, and maintain core data models for reports, ML, and generative AI. Implement automation and operationalize ML models workflows. Partner with teams to deliver integrations and customer-facing data products. Implement data quality, observability, and governance frameworks. Document data flows, integration contracts, and operational runbooks.