Sr. Data Engineer

Description: Design and implement AI features end to end, from data pipelines through GenAI and agentic workflows to production deployment. Build and optimize scalable, secure data pipelines and ETL/ELT workflows in Python and SQL across polyglot client enterprise environments. Develop Generative AI, agentic, ML, and BI systems using modern frameworks (Spark, LangChain, Databricks, etc.). Implement MLOps/LLMOps practices across AWS, Azure, and GCP. Enforce data security and governance, including PII/PHI handling and role-based access control. Mentor junior engineers and champion software engineering best practices. Requirements: Active Secret or Top Secret clearance required. 5+ years of relevant professional experience in a data engineering role. Expert-level proficiency in Python and SQL; familiarity with Scala and Java is a plus. Strong experience in building Agentic AI, Generative AI, and ML systems using modern frameworks. Ability to lead AI feature implementation with sound judgment on model behavior and trade-offs. Experience with data security and governance controls. Deep knowledge of MLOps/LLMOps, including CI/CD for data workflows and infrastructure as code. Exceptional time management and ability to own technical workstreams autonomously. Benefits: Work alongside recognized experts on cutting-edge projects. Dynamic, inclusive, and collaborative culture focused on continuous learning.