To Apply for this Job Click Here
Python Data Engineer – Energy & Commodity Trading Houston, TX | Onsite, Direct Hire
An Energy and Commodity Trading company in Houston, TX is hiring a Python Data Engineer for a full-time, direct hire opportunity. This company is involved in the physical trading, logistics, and distribution of energy and related products, including crude oil, oil products, natural gas, power, and renewable energy sources.
This role requires working onsite 5 days a week.
Interview Process
-
Take-home coding test
-
30-minute virtual call
-
1-hour business case interview
-
On-site: 30-minute interview with a trader
-
30-minute interview with the hiring manager
Top Skills
-
Python
-
SQL
-
Large Language Models (LLMs)
-
Agile/Scrum methodology
Key Responsibilities
-
Build modular, reusable components to integrate external data sources with internal tools and databases
-
Partner with business stakeholders to define data ingestion and access needs
-
Translate business requirements into scalable technical solutions
-
Maintain a shared Python codebase following established design principles
-
Enhance and standardize the internal Python ETL framework and tooling
-
Collaborate with a global team to support evolving data demands
-
Contribute to internal Python communities and business development initiatives
Basic Requirements
-
6+ years of professional Python development experience
-
Bachelor’s degree in Computer Science, MIS, or related field
-
Strong track record in data engineering and building data pipelines
-
Hands-on experience with web scraping libraries (Requests, Beautiful Soup, Selenium)
-
Proficiency with Oracle / PL SQL, including stored procedures
-
Familiarity with object-oriented programming, SOA, and design patterns
-
Comfortable working in Agile/Scrum environments
-
Knowledge of version control, code reviews, and issue tracking
-
Skilled with Pandas and NumPy
Nice to Have
-
Background in the Energy or Commodities Trading industry
-
Familiarity with Docker or Kubernetes
-
Experience in Banking or FinTech environments
1415424_1751404997