Sr. AI & Data Engineer–Trading Analytics

Shell offers a competitive compensation package for a Senior AI and Data Engineer in Trading Analytics, based in Houston with a hybrid work arrangement. The role carries a salary range of USD 149,000 to 223,000 per year. You will collaborate with traders and analysts to design AI driven front office analytics and GenAI/agentic solutions for trading, backed by a comprehensive benefits program designed to support your wellbeing and growth.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Life Insurance
• Business Travel Accident Insurance
• Occupational Accidental Death Benefit
• Company pension plan
• 401(k) plan
• Paid vacation time (up to 6 weeks)
• Paid holidays (up to 11)
• Parental leave (16 weeks birthing; 8 weeks non-birthing)
• Short-term disability leave (up to 26 weeks at 100% or 50%)
• Long-Term Disability insurance
• Financial reimbursement for adoption, wellness, education, and personal learning expenses
• Discretionary long-term incentives

Responsibilities

• Design and deliver AI driven analytics for traders and analysts, including seasonality analysis, correlations, regression models, forecasting, and scenario modelling over market pricing and fundamentals data
• Collaborate with traders and analysts to translate ambiguous business questions into clear analytical problems and practical solutions
• Communicate analytical outputs and AI generated insights to commercial stakeholders in a concise, actionable manner
• Build and maintain scalable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
• Support ingestion, modelling, and transformation of large scale time series pricing and fundamentals datasets
• Optimize pipelines for performance, reliability, and cost efficiency, following platform and data governance standards
• Build and enhance GenAI and agent based solutions to support trading analytics, including Retrieval Augmented Generation, prompt engineering, agent orchestration using LangGraph, tool calling and guardrails
• Integrate LLM based workflows with structured trading and market data to augment analysis, insight generation, and decision support
• Prototype solutions quickly, gather user feedback, and help harden selected use cases for production deployment
• Contribute to production ready analytics and AI solutions with testing, documentation, versioning, and basic observability
• Follow established CI/CD and DevOps practices, including use of Git based workflows and automated testing
• Support governance requirements such as PII handling, data lineage, and auditability in line with Trading & Supply standards

Requirements

• Must be legally authorized to work in the United States on a full-time basis for any employer (no Shell sponsorship required)
• 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 applying these techniques to time-series or market style datasets
• Practical experience building or contributing to LLM based solutions, including prompt engineering and retrieval based approaches
• Familiarity with GenAI frameworks and tooling (e.g., LangGraph or similar orchestration patterns)
• Experience working in collaborative engineering teams using Git and CI/CD pipelines
• Strong communication skills and the ability to work directly with analysts, traders, and other business stakeholders

Technologies

• Databricks
• PySpark
• Spark
• SQL
• Delta Lake
• Unity Catalog
• LangGraph

Additional preferred qualifications

• Exposure to commodity or financial trading environments
• Understanding of market fundamentals, supply demand dynamics, or risk concepts
• Experience with MLflow, feature stores, or vector databases
• Familiarity with regulated or risk sensitive environments