Technical Data Analyst / Data Engineer with oil and gas domain exp

We are seeking a hands-on technical resource to support data, reporting, and automation initiatives within our Environmental function. This role is focused on building scalable data pipelines, developing reporting solutions, and driving end-to-end automation across systems. The ideal candidate is execution-oriented, detail-focused, and comfortable working independently in a fast-paced environment.

Work locations: 935 N. Eldridge Parkway, Houston, TX 77079, or Midland, 600 W Illinois Ave, Midland, TX 79701 - HYBRID

Technical Data Analyst / Data Engineer

We are seeking a hands-on technical resource to support data, reporting, and automation initiatives within our Environmental function. This role is focused on building scalable data pipelines, developing reporting solutions, and driving end-to-end automation across systems. The ideal candidate is execution-oriented, detail-focused, and comfortable working independently in a fast-paced environment.

Key Responsibilities

• Support automation and data workflows for environmental reporting.
• Design, develop, and maintain scalable database architectures and data pipelines
• Develop and optimize SQL queries, views, and data models
• Build and maintain reporting dashboards and data visualizations (Power BI, Spotfire, or similar)
• Develop and implement data quality checks, validation, and reconciliation processes
• Build automation solutions using Power Automate, Copilot Studio, Python, or similar tools
• Integrate data across multiple systems and platforms
• Document data processes, architectures, and standards for scalability and auditability
• Provide hands-on technical execution support for priority automation and reporting projects

Required Qualifications

• Strong database expertise (SQL required; cloud data platforms a plus)
• Proven hands-on experience with reporting tools (Power BI, Spotfire, or similar)
• Proven hands-on experience building automation (Power Automate, Copilot Studio, Python, or similar)
• Experience designing and supporting data integration and ETL pipelines
• Experience working with both structured and semi-structured/unstructured datasets
• Strong analytical and root cause analysis skills
• Ability to translate business requirements into practical, scalable technical solutions
• Strong documentation and communication skills
• Ability to work independently and manage multiple priorities in a remote environment

Preferred Qualifications

• Experience in the oil and gas industry.
• 5+ Years of experience in IT Industry specially on the development and support side.
• Bachelor s degree or higher in Computer Science, Data Analytics, Engineering, or a related field
• Exposure to machine learning, predictive analytics, or advanced data modeling