Engineer, Production Located: Arlington Summary We are seeking a Production Engineer to join our Production Excellence team in our Arlington, VA office. The Production Engineer will report to the Senior Vice-President, Production Excellence and will be supporting the safe, reliable, and efficient operation of our LNG liquefaction facility. This role blends deep production engineering knowledge with a growing suite of digital tools to optimize and monitor plant performance in real time, along with additional responsibilities for ensuring plant operations remain program compliant and that the production volumes are delivered in a safe and reliable manner. The ideal candidate brings experience in LNG or hydrocarbon processing, a strong grasp of process fundamentals, and a passion for using data to improve operations. This is a fast-paced environment requiring drive, enthusiasm, willingness to learn and grow rapidly. The successful candidate will work alongside Gas Supply, operations, engineering, and Commercial Operations teams-as well as collaborate with business intelligence, data engineering, and machine learning specialists in IT -to build user-friendly tools that drive performance and unlock insights from our production systems. Other elements may involve process modeling and simulation to understand plant performance, optimize production, and support day-to-day application of plant models while contributing to real-time operational decisions and supporting long-term/high impact decision making. General Description Duties & Responsibilities Candidate will develop a deep understanding of the Venture Global LNG process and responsibilities including, but not limited to: • Help develop tools that track and improve LNG production performance, including dashboards, automated reports, and alerts • Translate operating data into actionable insights that improve plant reliability, availability, and throughput • Automate the Analysis of production trends, loss events, and deviation from expected performance; support investigations (e.g., RCAs) and mitigation planning • Identify opportunities to automate manual tracking and reporting processes, improving accuracy and timeliness of information • Analyze plant data and model outputs to identify optimization opportunities and troubleshoot operational issues • Assist in evaluating the impact of process changes, debottlenecking studies and efficiency improvements • Collaborate with Data Engineers, Data Scientists, and BI Developers to ensure accurate data flows and fit-for-purpose dashboards • Provide insights and technical input to the annual delivery plan, production forecasts, and ongoing performance reviews • Share learnings across teams and contribute to standardizing best practices across facilities • Travel to all our Louisiana LNG Facilities as needed Qualifications Required experience • Advanced degree (Master's or PhD) in Chemical, Process or Mechanical Engineering discipline is highly desired; however, candidates possessing a Bachelor's degree in Chemical, Process or Mechanical Engineering with demonstrable success improving LNG plant operations using data, analytics, or automation are encouraged to apply • Minimum 3 years of production or process engineering experience in LNG • Demonstrated success improving plant operations using data, analytics, or automation • Working knowledge of production systems, control room operations, and key process equipment (e.g., heat exchangers, compressors, refrigeration systems) • Familiarity with data and reporting tools such as Excel, Power BI, or SAC; experience with Python or SQL is a plus but not required • Strong communication and collaboration skills, with the ability to engage both technical and non-technical teams • High level of energy and motivation to excel within the organization • Goes above and beyond and takes initiative Preferred Qualifications: • Experience working alongside BI, data engineering, or IT teams on analytics or digitalization projects • Exposure to commissioning or troubleshooting of cryogenic or liquefaction systems • Understanding of cloud-based tools such as Azure Data Factory, Databricks, or Data Lakes (training can be provided) • Comfortable managing multiple priorities and adapting to evolving operational needs Salary Range $110,000-$139,000