Data Engineer

An upstream E&P operator, backed by a major global energy trading group, is hiring a Data Engineer to help build out their Databricks environment and support reservoir engineering and analytics as the business continues to grow. What you'll be doing: Building out and optimizing the company's Databricks environment — compute setup and optimization, pipeline standardization, and production-ready builds Integrating multiple data sources to support ML models, dashboards, and operational tools used across the business Working closely with reservoir engineering and analytics teams to turn upstream operational data into something the business can actually use Helping shape data engineering practice at a business that's still scaling, so there's real room to influence how things get built What they're looking for: Strong data engineering experience, particularly with Databricks Experience integrating multiple data sources to support ML models, dashboards, and operational tools Upstream E&P experience is preferred, with a reservoir or petroleum engineering background being a real advantage Exposure to Compass, Aries, or WellView would be beneficial, but isn't essential Based in Oklahoma City, with flexibility around hybrid working. $150,000–$200,000 base salary, depending on experience Additional bonus Benefits including healthcare, 401(k), and more #J-18808-Ljbffr