About This Role
This role sits at the intersection of data engineering and systems integration, focusing on building and maintaining technical pipelines, APIs, and automated workflows. The developer will power the company's Databricks data platform and connect enterprise systems, working in a fast-paced, collaborative oil and gas environment. The position is open to both mid-level candidates with strong fundamentals and senior candidates ready to contribute immediately.
Responsibilities
- Design, build, optimize, and maintain ETL/ELT pipelines that move and transform large volumes of data from source systems into the 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
- Monitor and support development and production environments within Databricks to ensure system availability, reliability, and data quality
- 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
- Create and maintain clear technical documentation; adhere to coding standards and governance practices that support long-term maintainability and scalability
- Use GitHub or similar version control platforms for collaborative development, code reviews, and repository management
- Provide guidance to less experienced team members and contribute to a culture of knowledge-sharing across the team (for senior candidates)
Requirements
- 5+ years of relevant experience in data engineering, software development, or systems integration; mid-level candidates with strong fundamentals and demonstrated potential are encouraged to apply
- 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; equivalent practical experience will be considered
- Proficiency in Python and/or other modern languages (Java, C++, R); solid understanding of object-oriented design principles
- Hands-on experience with Databricks or a comparable cloud-based data platform (e.g., Snowflake); strong working knowledge of SQL
- Experience designing and maintaining REST and/or SOAP APIs; familiarity with authentication and security best practices
- Experience with ETL/ELT frameworks and tools (e.g., dbt); comfortable working with JSON, CSV, and XML formats
- Strong verbal and written communication skills; ability to translate technical concepts for non-technical stakeholders across all levels of the organization
- Capable of working independently and integrating effectively within multi-disciplinary teams in a fast-paced environment
Nice to have:
- 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
About the Company
Permian Resources is an oil and gas company that operates in the Permian Basin.
