Senior Data Engineer

Core Requirements

• 5+ years of experience in data engineering, platform engineering, backend engineering, ML engineering, or a related discipline, with experience building and operating production systems.
• Strong Python and SQL skills.
• Strong data engineering fundamentals, including data pipelines, data modeling, data quality, orchestration, and secure data access.
• Experience with Snowflake, Databricks, or comparable modern data platforms, and tools such as dbt, Airflow, or similar.
• Hands-on experience building or supporting production systems using LLMs / generative AI.
• Practical experience with one or more of RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise knowledge systems.
• Experience building data or platform capabilities that are reusable across teams, rather than only developing one-off solutions.