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Python Developer For Reservoir Engineering|| Onsite || Spring, TX

NJTECH INC.Spring, TX🇺🇸United StatesPosted Oct 22, 2026

Why This Role Stands Out

Advance your career by joining a collaborative team where your Python expertise will directly modernize critical reservoir engineering workflows and drive impactful, scalable data solutions. You will thrive in this position if you are a detail-oriented developer who enjoys bridging the gap between complex engineering models and high-performance automation in Databricks and Spotfire environments. This is a fantastic opportunity to elevate your professional portfolio with a reputable client, so apply today to take the next step in your career.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Spring, TX, United States
Posted
21 hours ago
SQLSpringGitApache SparkETLDatabricksPythonAzureCI/CD

Job Description

We at NJ TECH INC are focused on hiring highly skilled professionals who are excited by the opportunity to make a true impact on their careers as well as on our clients' business. We power our clients success and drive our consultants career growth.

We are seeking an experienced and outstanding Python Developer for Reservoir Engineering for one of our esteemed clients.

Role: Python Developer for Reservoir Engineering

Location: Onsite Spring, TX

Duration: Long term

Responsibilities:

Overview:

We are seeking an experienced Reservoir Engineer Contractor to work closely with our reservoir engineering and analyst teams to productionize their analytical code and automate data manipulations and quality checks. The ideal candidate will have strong expertise in Python and experience working in Spotfire and Databricks environments. This role requires close interaction with engineers to transform existing workflows into scalable, maintainable solutions.

Key Responsibilities:

  • Work with different teams to understand existing analytical workflows and models.
  • Refactor and productionize Python code mainly for maintainability. Performance and scalability are secondary for this work.
  • Develop and deploy automated solutions in Databricks and integrate with Spotfire dashboards.
  • Implement best practices for version control, testing, and documentation.
  • Ensure data security and compliance with company standards.

Required Skills:

  • Programming: Advanced Python (data manipulation, automation, and object-oriented programming).
  • Data Platforms: Databricks (PySpark and SQL data manipulation), Spotfire (data visualization and integration).
  • Data Engineering: ETL processes, data pipelines, and cloud-based workflows.
  • Version Control: Git/GitHub.
  • Testing & Deployment: Unit testing, CI/CD pipelines.
  • Reservoir engineering: Knowledge of reservoir engineering workflows and oil & gas industry data.
  • Communication: Ability to interpret and refactor code developed by reservoir engineer into robust, production-ready solutions

Preferred Skills:

  • Familiarity with Azure cloud environments.
  • Experience with performance tuning and optimization of analytical models.

Prior Experience:

  • 5+ years of professional experience in Python development.
  • 3+ years working with data platforms such as Databricks and visualization tools like Spotfire.
  • Experience collaborating with engineering or scientific teams to productionize existing code.
  • Proven track record of building scalable, maintainable solutions in a data-driven environment.

NJ TECH INC is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, We cannot sponsor any visa at this time

NJ TECH INC, is a globally managed IT service, consulting and Business solutions partner. Our "High-Performance Business" strategy builds up our expertise in technology and consulting. Our consulting plays a major role in helping clients to achieve their objectives in the highest level; ultimately creating sustainable value for customers. Come, transform your career with us and be a part of our high-performing team

Regards,

Aaran

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