Senior Midstream Optimization Engineer

bp•Denver, CO

6d•$150,000 - $190,000•Hybrid

About The Position

bpx energy, a major oil and gas producer in the United States, leverages its expertise in unconventional gas, including shale, to deliver hydrocarbon production and technical knowledge worldwide. With operations in Texas and Louisiana, our US onshore business has become both a best-in-class oil and gas producer and a leader in reducing methane emissions. As part of bp, a global industry leader, we foster a high-energy, high-intensity environment built on accountability, collegiality, and empowerment. The Midstream Optimization Engineer is responsible for identifying, evaluating, and implementing opportunities to improve the performance, reliability, and value generation of BPX's midstream infrastructure. This role works closely with Operations, Engineering, Maintenance, Pipelines, SWD, Commercial, and Technology teams to support optimization initiatives across gas, oil, water, and produced fluid systems. The successful candidate will leverage operational data, engineering principles, and field engagement to identify system constraints, improve asset utilization, and deliver measurable business value. The role requires a strong analytical mindset, a passion for continuous improvement, and the ability to translate insights into practical operational solutions. Field engagement is expected to build relationships, understand operational challenges, and ensure solutions are applicable and sustainable in daily operations.

Requirements

Bachelor's degree in engineering with proven understanding of oil and gas production, gathering, and processing operations
5-10 years of experience supporting oil and gas production, facilities, midstream, water management, or operations engineering.
Strong analytical, troubleshooting, and problem-solving skills.
Proven ability to work collaboratively across technical and operational teams.
Effective written and verbal communication skills.

Nice To Haves

Analysis and modelling
Analytics
Commercial Acumen
Commercial performance management
Communication
Data visualization and interpretation
Financial Analysis
Integrated Planning
Investment appraisal
Performance management

Responsibilities

Develop tools to supervise system performance, pressures, rates, and operating conditions to identify optimization opportunities.
Support efforts to maximize throughput, minimize production deferment, and improve asset utilization.
Evaluate constraints across gathering, compression, treating, pipeline, and water systems and recommend corrective actions.
Quantify the operational and financial impact of optimization initiatives.
Assist in developing operational strategies that improve flow assurance and system efficiency.
Support Operations and Maintenance teams in identifying and resolving equipment or system reliability issues.
Support Operations and Maintenance with workflow mapping and optimization.
Participate in troubleshooting efforts during outages, upsets, and abnormal operating conditions.
Analyze recurring operational issues and develop recommendations to reduce risk and improve performance.
Support continuous improvement of response plans and operating procedures.
Develop and maintain dashboards, reports, and analytical tools that improve visibility into system performance.
Analyze operational and commercial data to identify trends, inefficiencies, and optimization opportunities.
Utilize data analytics, pattern recognition, and anomaly detection techniques to support decision-making.
Assist with implementation of new technologies and digital tools that improve operational performance.
Support tracking and analysis of midstream agreements, processing commitments, and third-party connections.
Assist with forecasting, scenario evaluations, and economic assessments of optimization opportunities.
Identify opportunities to improve commercial outcomes while maintaining operational reliability.
Participate in Root Cause Failure Analyses (RCFAs) and other continuous improvement initiatives.
Track optimization opportunities and support implementation of corrective actions.
Promote a data-driven approach to operational decision-making.
Share lessons learned and best practices across teams.