Data Modeling: Develop data models and pipelines that support reporting, dashboards, and analytical use cases across multiple business teams.
System Optimization: Analyze existing integrations and pipelines to identify performance bottlenecks; implement best practices in code quality, data modeling, and architecture.
Cross-Functional Collaboration: Partner closely with business subject matter experts, data scientists, and IT members to deliver reliable, clean data that meets operational needs.
Documentation & Standards: Create and maintain clear technical documentation; adhere to coding standards and governance practices that support long-term maintainability and scalability.
Version Control: Use GitHub or similar version control platforms for collaborative development, code reviews, and repository management.
Mentorship (Senior Candidates): Provide guidance to less experienced team members and contribute to a culture of knowledge-sharing across the team.
Minimum Qualifications
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.
Experience working with or exploring AI/ML tools, large language models, or AI-assisted development workflows is a plus.
Preferred Qualifications
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.
Permian Resource is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
