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Python Data Engineer

TalentOS AI LLCHouston, TX🇺🇸United StatesPosted 8 Jul 2026

Why This Role Stands Out

This hybrid Python Data Engineer role at TalentOS AI LLC offers exciting growth opportunities as you'll directly collaborate with diverse teams to build and enhance data assets. You'll thrive here if you're a seasoned Python developer with a passion for data engineering and translating business needs into robust technical solutions. Apply now to contribute to innovative data initiatives within a dynamic environment.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Python Data Engineer

Introduction

We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers, and data scientists to drive out requirements and deliver a wide range of data-related needs.

Responsibilities

  • Write modular, reusable components to liaise between external sources of data, internal tools, and databases
  • Work with our business sponsors to drive out requirements for data ingestion and access
  • Translate business requirements into technical deliveries
  • Maintain the cleanliness and centrality of the Vitol Python codebase, while adhering to existing designs and coding conventions as much as possible
  • Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality
  • Efficiently coordinate with the rest of our global team
  • Participate in Vitol’s Python development community and act as a liaison for our growing business development efforts

Requirements

  • 9+ years of enterprise-level coding experience with Python
  • Computer Science, MIS, or related degree
  • Experience with Data Engineering and building data pipelines
  • Experience scraping websites with Requests, Beautiful Soup, Selenium, etc.
  • Oracle / PL SQL development experience including stored procedures
  • Strong understanding of object-oriented design, design patterns, SOA architectures
  • Past experience working in an Agile/Scrum environment
  • Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools
  • Familiarity with Pandas and NumPy packages
  • Strong communication skills (written and verbal)
  • Commodities/Energy Industry experience desired
  • Familiarity with containerization solutions like Docker and Kubernetes is a plus

Required Skills

Python, Data Engineering, Data Pipelines, Web Scraping, Oracle, PL SQL, Object-Oriented Design, Agile/Scrum, Peer-Reviewing, Code Versioning, Pandas, NumPy, Communication Skills, Commodities/Energy Industry, Docker, Kubernetes

Preferred Skills

Experience with containerization solutions like Docker and Kubernetes is a plus

Skills

Docker
Oracle
SQL
ETL
NumPy
Scrum
Selenium
Agile
Kubernetes
Pandas
Python
REST

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