Python Data Engineer (Only W2)

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Only W2

Title: Sr. Python Data Engineer (Only W2)

Duration: 12 Month Contract

Location: Spring, TX (5 Days Onsite a Week)

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.