Databricks Data Engineer for Upstream Reservoir Analytics

X4 Engineering; Oklahoma City (OK); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Healthcare

401(k)

Bonus

Job summary

X4 Engineering is seeking a Data Engineer in Oklahoma City to build out our Databricks environment and support reservoir engineering analytics as the business scales. You’ll optimize compute, standardize pipelines, and create production-ready data builds, collaborating with engineering and analytics teams to turn upstream data into actionable insights.

Preferred candidates have strong Databricks experience, data integration skills for ML and dashboards, and an upstream E&P background.

Qualifications

• 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.

Responsibilities

• Build out and optimize the company's Databricks environment — compute setup and optimization, pipeline standardization, and production-ready builds
• Integrate multiple data sources to support ML models, dashboards, and operational tools used across the business
• Work closely with reservoir engineering and analytics teams to turn upstream operational data into something the business can actually use
• Help shape data engineering practice at a business that's still scaling, so there's real room to influence how things get built

Skills

Databricks

Data integration

Reservoir engineering background

Upstream E&P exposure

Tools

Compass

Aries

WellView

Job description

X4 Engineering is seeking a Data Engineer in Oklahoma City to build out our Databricks environment and support reservoir engineering analytics as the business scales. You’ll optimize compute, standardize pipelines, and create production-ready data builds, collaborating with engineering and analytics teams to turn upstream data into actionable insights.

Preferred candidates have strong Databricks experience, data integration skills for ML and dashboards, and an upstream E&P background.