Sales and Trading Engineer Jobs

1 job found

1mo ago

Sr. AI & Data Engineer–Trading Analytics

Shell Houston, TX

Houston, TX

1mo ago Closed

$149k - $223k/yr Full time Senior Ai Ml Analytics

This position is no longer accepting applications (closed Jul 11, 2026).

Job Description

Shell seeks a Senior AI & Data Engineer, Trading Analytics, in Houston, TX (hybrid) to design and deliver AI driven front office analytics and GenAI/agent based solutions for trading.

Responsibilities

Design, implement, and deploy AI driven analytics for traders and analysts, including seasonality analyses, correlation studies, regression models, forecasting, and scenario modeling over market pricing and fundamentals data
Collaborate with traders and analysts to convert vague business questions into well defined analytical problems and practical solutions
Present analytical outputs and AI generated insights to commercial stakeholders in a concise, actionable format
Build and maintain scalable, reusable 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 in line with platform and data governance standards
Develop GenAI and agent based solutions to support trading analytics, including:
- Retrieval Augmented Generation (RAG)
- Prompt engineering
- Agent orchestration using frameworks such as 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 harden selected use cases for production deployment
Contribute to production ready analytics and AI solutions with testing, documentation, versioning, and basic observability
Adhere to CI/CD and DevOps practices, including 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 have legal authorization to work in the US on a full-time basis for anyone other than the current employer
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
Strong foundation in statistics, econometrics, or data science, with experience 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

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

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 working in regulated or risk-sensitive environments

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