System Integration Engineering

Integration Developer

Permian Resources is seeking an Integration Developer reporting to the Enterprise Data Senior Manager in Midland, Texas. This role sits at the intersection of data engineering and systems integration — responsible for building and maintaining the technical pipelines, APIs, and automated workflows that power our Databricks data platform and connect our enterprise systems.

The ideal candidate brings strong technical skills in data pipeline development and software engineering, a genuine passion for building solutions that streamline business processes, and the ability to work effectively in a fast-paced, collaborative oil and gas environment. Data Pipeline Development: Design, build, optimize, and maintain ETL/ELT pipelines that move and transform large volumes of data from source systems into our Databricks analytics environment.

Build and maintain APIs and integration layers (REST, SOAP) that enable seamless data flow between enterprise applications, working across a range of data formats including JSON, CSV, and XML.

Platform Monitoring & Support: Monitor and support development and production environments within Databricks to ensure system availability, reliability, and data quality.

Data Modeling: Develop data models and pipelines that support reporting, dashboards, and analytical use cases across multiple business teams.

Analyze existing integrations and pipelines to identify performance bottlenecks; implement best practices in code quality, data modeling, and architecture.

Partner closely with business subject matter experts, data scientists, and IT members to deliver reliable, clean data that meets operational needs.

Version Control: Use GitHub or similar version control platforms for collaborative development, code reviews, and repository management.

5+ years of relevant experience in data engineering, software development, or systems integration; 3 years of experience working in the oil and gas industry is required

• Bachelor's degree (BS/BA) in Computer Science, Engineering, Business Analytics, Statistics, or a related field; Proficiency in Python and/or other modern languages (Java, C++, R); Hands-on experience with Databricks or a comparable cloud-based data platform (e.g., strong working knowledge of SQL.
• comfortable working with JSON, CSV, and XML formats.
• Experience working with or exploring AI/ML tools, large language models, or AI-assisted development workflows is a plus.

Significant exposure to upstream oil and gas datasets, systems, and operational workflows is strongly preferred.

Experience working with or exploring AI/ML tools, large language models, or AI-assisted development workflows is a plus.

We celebrate diversity and are committed to creating an inclusive environment for all employees.