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Bp Petroleum Engineer Jobs (NOW HIRING)

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Bp Petroleum Engineer information

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$42K

$80K

$136K

How much do bp petroleum engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for bp petroleum engineer in the United States is $80,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $114,000.00 per year, depending on experience, location, and employer.

Is there a high demand for petroleum engineers?

Petroleum engineers are in high demand due to ongoing global energy needs and the continued reliance on oil and gas extraction. Employment opportunities are expected to grow as companies seek skilled engineers to develop new reserves and improve extraction techniques, often requiring knowledge of reservoir simulation and drilling technologies.

How much do engineers at BP make?

BP petroleum engineers typically earn an average salary ranging from $80,000 to $150,000 annually, depending on experience, location, and level of expertise. Senior engineers or those with specialized skills may earn higher compensation, often supplemented with bonuses and benefits.

Is it difficult to get hired at BP?

Becoming a BP petroleum engineer can be competitive due to the company's reputation and industry demand. Candidates typically need relevant engineering degrees, technical skills, and sometimes prior internship experience to improve their chances of being hired.

What are BP Petroleum Engineers?

BP Petroleum Engineers are professionals who work for BP (British Petroleum) to design and develop methods for extracting oil and gas from underground reservoirs. They are responsible for evaluating production potential, optimizing extraction processes, and ensuring that operations are safe, efficient, and environmentally responsible. BP Petroleum Engineers collaborate with geologists and other specialists to maximize resource recovery and support the company's energy goals. Their work involves both office-based analysis and fieldwork at drilling sites. These engineers play a critical role in helping BP meet global energy demands while adhering to strict safety and environmental standards.

What types of cross-functional collaboration can a BP Petroleum Engineer expect in their daily work?

As a BP Petroleum Engineer, you will frequently collaborate with geologists, drilling specialists, project managers, and safety teams to optimize well performance and ensure safe, efficient extraction of hydrocarbons. Expect regular multidisciplinary meetings to discuss reservoir data, drilling plans, and production strategies. Building strong communication skills is essential, as you'll often coordinate between field operations and corporate offices to align technical recommendations with business objectives.

What are the key skills and qualifications needed to thrive as a BP Petroleum Engineer, and why are they important?

To thrive as a BP Petroleum Engineer, you need a solid background in chemical or petroleum engineering, strong analytical skills, and typically a relevant engineering degree. Familiarity with industry-standard software such as Petrel, Eclipse, or MATLAB, and certifications like Professional Engineer (PE) licensure are commonly required. Strong problem-solving abilities, teamwork, and effective communication skills help distinguish top performers in this field. These skills are crucial for designing safe, efficient extraction methods and collaborating across multidisciplinary teams to meet production and safety goals.

What is the difference between Bp Petroleum Engineer vs Bp Reservoir Engineer?

AspectBp Petroleum EngineerBp Reservoir Engineer
Required CredentialsBachelor's degree in petroleum engineering or related field; Professional Engineer (PE) license often preferredBachelor's degree in petroleum, reservoir, or geological engineering; PE license advantageous
Work EnvironmentField operations, drilling sites, production facilitiesReservoir modeling, data analysis, simulation labs
Employer & Industry UsageOil and gas companies, exploration firmsOil companies, reservoir management teams
Common Search & ComparisonYesYes

The main difference between a Bp Petroleum Engineer and a Bp Reservoir Engineer lies in their focus areas. Petroleum engineers primarily work on drilling, production, and field operations, while reservoir engineers focus on subsurface reservoir analysis and management. Both roles require similar educational backgrounds and certifications but serve different functions within the oil and gas industry.

What engineers make $500,000?

Senior petroleum engineers, especially those with extensive experience, advanced technical skills, and leadership roles in the oil and gas industry, can earn salaries of $500,000 or more annually. High compensation often includes bonuses, profit sharing, and other incentives, particularly in senior management or specialized technical positions.
More about Bp Petroleum Engineer jobs
What states have the most Bp Petroleum Engineer jobs? States with the most job openings for Bp Petroleum Engineer jobs include:
What job categories do people searching Bp Petroleum Engineer jobs look for? The top searched job categories for Bp Petroleum Engineer jobs are:
Bp Petroleum Engineer jobs near you
Infographic showing various Bp Petroleum Engineer job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $80,025 per year, or $38.5 per hour.

Senior Data Scientist / AI Engineer - Petroleum Engineering Analytics

Intake IT Solutions

Houston, TX • On-site

Other

Posted 4 days ago

Job description

Role: Senior Data Scientist / AI Engineer – Petroleum Engineering Analytics
Location: Houston, TX (Onsite) 
 
Experience: 10+ Years
 
Domain Requirement: Mandatory Petroleum Engineering / Oil & Gas Upstream Experience
 
 
Job Summary
We are seeking a highly skilled Data Scientist / AI Engineer with strong experience in Petroleum Engineering and Oil & Gas operations to develop advanced analytics, machine learning, and AI-driven solutions for subsurface, drilling, reservoir, production, and asset optimization initiatives. The ideal candidate will bridge the gap between data science and petroleum engineering by leveraging AI/ML technologies to improve operational efficiency, production forecasting, reservoir performance, and decision-making.
 
Required Qualifications
Bachelor''''s or Master''''s degree in Petroleum Engineering, Data Science, Computer Science, Applied Mathematics, or related discipline
8+ years of experience in Data Science, Machine Learning, or AI
5+ years of hands-on Petroleum Engineering or Oil & Gas Upstream experience (Mandatory)
Strong understanding of:
Reservoir Engineering
Production Engineering
Drilling Operations
Well Performance Analysis
Field Development Planning
Experience working with Oil & Gas datasets including:
Well logs
Production data
Reservoir simulation data
Pressure and temperature datasets
SCADA and sensor data
Technical Skills
Data Science & AI
Python, R, SQL
Machine Learning (Regression, Classification, Clustering)
Deep Learning (TensorFlow, PyTorch)
Generative AI and LLMs
Predictive Modeling
Time Series Forecasting
Optimization Algorithms
Statistical Analysis
Data Engineering & Cloud
Databricks
Apache Spark
Azure, AWS, or Google Cloud Platform
Snowflake
Data Lake Architecture
MLOps, CI/CD
Visualization
Power BI
Tableau
Spotfire
Python Visualization Libraries
Key Responsibilities
Develop AI/ML models for:
Production forecasting
Well performance optimization
Reservoir characterization
Drilling efficiency analysis
Predictive maintenance
Build data-driven solutions to improve oil recovery and reduce operational costs.
Analyze large-scale subsurface and production datasets.
Apply machine learning techniques for anomaly detection and operational risk assessment.
Develop predictive models for artificial lift optimization and production enhancement.
Partner with Petroleum Engineers, Geoscientists, Drilling Engineers, and Asset Teams.
Implement Generative AI solutions for knowledge management, operational workflows, and engineering data analysis.
Design and deploy scalable AI solutions on cloud platforms.
Establish best practices for data governance, model monitoring, and MLOps.
Preferred Experience
Experience with major Oil & Gas companies such as ExxonMobil, Chevron, ConocoPhillips, Shell, BP, Occidental, Halliburton, Baker Hughes, Schlumberger (SLB), or similar.
Experience with:
Petrel
OFM
Harmony
OpenWorks
Kingdom
Eclipse Reservoir Simulator
Knowledge of Digital Oilfield initiatives.
Experience implementing AI/ML solutions for upstream exploration and production operations.
Nice to Have
PhD in Petroleum Engineering, Data Science, or AI-related field.
Certifications in Azure AI, AWS ML, Databricks, or Cloud Architecture.
Experience with GenAI, RAG frameworks, and engineering document intelligence solutions.
 
 

Apply