Data Engineer

Job Description:

Permian Resources (NYSE: PR) is currently seeking a Data Engineer reporting to the Enterprise Data Sr. Manager in Midland, Texas or The Woodlands, Texas. This position will be responsible for the below responsibilities. The ideal candidate will have strong technical as well as communication skills and be able to contribute his/her expertise while working on multi-disciplinary team in a fast-paced environment.

General Responsibilities

• Integrated member of the Data & Analytics Team responsible for data engineering within Databricks for all the business teams at Permian Resources 

• Responsible for designing, building, and optimizing data pipelines from source systems into an analytics ready environment

• Convert raw data into usable formats for data consumers

• Monitor and support the development and production environments within Databricks to ensure system availability and quality

• Continuously develop, test, and manage the data pipelines

• Build data pipelines that transform, clean, and aggregate data from the disparate systems

• Develop data models and pipelines for reporting, dashboards, and machine learning

• Collaborate with multiple business SMEs, data scientists and IT members to provide reliable and clean data

• Work on multiple projects in a fast-paced environment 

Minimum Qualifications

• Proven experience within the Databricks Data Engineering platform or similar

• BS/BA in Business Analytics, Computer Science, Statistics, or relevant field

• Proficient knowledge of SQL, Python, R or other similar languages

• Must be self-motivated and capable of independently integrating within multi-disciplinary teams

• Must have strong verbal and written communication skills and be able to communicate effectively with all levels of the organization

Preferred Qualifications

• 5 plus years of experience within the upstream oil and gas industry

Permian Resource is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.