Sr. AI & Data Engineer–Trading Analytics
$149,000–$223,000 year
Hybrid · Houston, Texas, United States
Job Summary
Sr. AI & Data Engineer – Trading Analytics in Houston, TX, will design, build, and productionize AI-driven analytics for front-office trading teams. responsibilities include creating AI-enabled analytics over market pricing and fundamentals data, building scalable Databricks pipelines (PySpark, Spark, Delta Lake, Unity Catalog), and developing GenAI/agentic solutions (RAG, prompt engineering, LangGraph) to support traders and analysts. The role emphasizes rapid prototyping, collaboration with front-office users, production-grade delivery with CI/CD and governance, and ensuring data privacy and regulatory compliance. Requires strong data engineering, statistics/econometrics, and experience with LLM-based workflows; hybrid work model in Houston.
Required Qualifications
- Bachelor’s degree or equivalent relevant years of experience
- At least 10 years of relevant experience
- Hands-on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
- Proven data engineering skills, including pipeline development, data modelling, and performance optimization
- Solid foundation in statistics, econometrics, or data science with time-series or market-style data experience
- Experience building or contributing to LLM-based solutions, including prompt engineering and retrieval-based approaches
- Familiarity with GenAI frameworks and tooling (e.g., LangGraph)
- Experience with Git and CI/CD pipelines
- Strong communication skills to work with analysts, traders, and stakeholders
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