Databricks Data & AI Engineer (Trading & Operations)
Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.
Houston, TX (Hybrid – 2–3 days onsite)
Start: June 2026 | Long-term program
The Opportunity
We're hiring a hands-on Data & AI Engineer to work directly with business teams, delivering high-impact digital, automation, and AI solutions.
This is not a traditional back-end data role. You'll be embedded within operational teams, identifying inefficiencies, shaping use cases, and building production-ready solutions that drive real business value.
What You'll Be Doing
Design, build, and deploy data, automation, and AI solutions from concept to production
Develop POCs, prototypes, and scalable solutions using Databricks and cloud platforms
Work closely with business users to identify opportunities for automation and AI-driven improvements
Translate complex workflows into practical, value-driven solutions
Build solutions using a mix of:
Data engineering (Python, SQL, Databricks)
AI/GenAI (LLMs, agents, copilots, document automation)
Automation tools (low-code or scripting where appropriate)
Partner with stakeholders across business and technology to ensure solutions are secure, scalable, and compliant
Operate in an Agile, fast-paced environment with a strong focus on delivery
What We're Looking For
8+ years of experience in data engineering, AI engineering, or similar hands-on roles
Strong experience with:
Experience in trading, commodities, or energy
Databricks, Python, SQL
Cloud platforms (Azure preferred)
Experience building or working with AI/GenAI solutions (LLMs, copilots, agents, or similar)
Ability to work closely with business stakeholders and translate problems into solutions
Experience delivering end-to-end solutions (POC → production)
Strong problem-solving mindset with a focus on impact and value
Nice to xsgimln Have
Exposure to tools such as:
LangChain / LangGraph
Databricks Mosaic AI
Copilot Studio
Power Platform (Power Automate, Power Apps)
Experience in process automation or workflow optimization
Familiarity with governance, risk, and compliance in data/AI solutions
Why This Role
Work directly with business teams on high-impact, real-world problems
Build solutions that go beyond dashboards, true AI, and automation use cases
Be part of a long-term, strategic digital transformation program
Blend data engineering, AI, and business problem-solving in one role