Data Engineer

Python Data Engineer — Houston, TX (Onsite Only)

A global energy and commodities organization is seeking an experienced Python Data Engineer to expand and optimize data assets that support high-impact analytics. This role works closely with traders, analysts, researchers, and data scientists to translate business needs into scalable technical solutions. The position is fully onsite due to the collaborative, fast-paced nature of the work.

MUST come from an Oil & Gas organization, prefer commodity trading firm.

CANNOT do C2C.

Key Responsibilities

• Build modular, reusable Python components to connect external data sources with internal tools and databases.
• Partner with business stakeholders to define data ingestion and access requirements.
• Translate business requirements into well-designed technical deliverables.
• Maintain and enhance the central Python codebase following established standards.
• Contribute to internal developer tools and ETL frameworks, helping standardize and consolidate core functionality.
• Collaborate with global engineering teams and participate in internal Python community initiatives.

Qualifications

• 7 years of professional Python development experience.
• Strong background in data engineering and pipeline development.
• Experience with web scraping tools (Requests, BeautifulSoup, Selenium).
• Hands-on Oracle/PL SQL development, including stored procedures.
• Strong grasp of object-oriented design, design patterns, and service-oriented architectures.
• Experience with Agile/Scrum, code reviews, version control, and issue tracking.
• Familiarity with scientific computing libraries (Pandas, NumPy).
• Excellent communication skills.
• Industry experience in energy or commodities preferred.
• Exposure to containerization (Docker, Kubernetes) is a plus.