Job ID: 12068
Location: Houston, Texas
Employment Type: Contract
Date Added: 06/19/2026
Job Description
Location: Houston, TX or Midland, TX
Description
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
