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Oil Gas Data Engineer Jobs (NOW HIRING)

Hunter+Sage

Oil & Gas Recruiter

Houston, TX · On-site

The ideal candidate brings experience recruiting within Oil & Gas, Energy, Engineering, or Field ... Track recruiting metrics and provide data for hiring and workforce reporting * Build relationships ...

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J H Operating Company LLC

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Project Engineer - Oil & Gas

Baton Rouge, LA · On-site

$90K - $130K/yr

Experience with programming, AI, data analytics (Coding agents, Python, R, VBA, SQL, etc.). * A ... oil and gas facility projects with direct impact. JH operates as an owner-focused EPCm firm ...

J H Operating Company LLC

Be Seen First

Project Engineer - Oil & Gas

Baton Rouge, LA · On-site

$90K - $130K/yr

Experience with programming, AI, data analytics (Coding agents, Python, R, VBA, SQL, etc.). * A ... oil and gas facility projects with direct impact. JH operates as an owner-focused EPCm firm ...

J H Operating Company LLC

Be Seen First

Project Engineer - Oil & Gas

Baton Rouge, LA · On-site

$90K - $130K/yr

Experience with programming, AI, data analytics (Coding agents, Python, R, VBA, SQL, etc.). * A ... oil and gas facility projects with direct impact. JH operates as an owner-focused EPCm firm ...

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Oil Gas Data Engineer information

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$60.5K

$122.1K

$167.5K

How much do oil gas data engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for oil gas data engineer in the United States is $122,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $140,000.00 per year, depending on experience, location, and employer.

What does an Oil Gas Data Engineer do?

An Oil Gas Data Engineer is responsible for collecting, processing, and analyzing large volumes of data generated in the oil and gas industry. They develop and maintain data pipelines, databases, and analytical tools to support exploration, drilling, production, and operational decisions. Their work helps companies optimize performance, improve safety, and reduce costs by leveraging data-driven insights. Oil Gas Data Engineers often collaborate with geologists, reservoir engineers, and IT teams to ensure data quality and usability.

What are the key skills and qualifications needed to thrive as an Oil Gas Data Engineer?

To thrive as an Oil Gas Data Engineer, you need a solid background in data engineering, petroleum engineering concepts, and proficiency in programming languages such as Python or SQL, often supported by a relevant engineering or computer science degree. Familiarity with industry-standard tools like PI System, Petrel, and data visualization platforms, as well as certifications in data management or cloud services, is highly valued. Strong analytical thinking, communication, and problem-solving skills help you collaborate effectively with interdisciplinary teams and translate data insights into actionable solutions. These skills enable efficient handling of complex datasets, drive operational efficiency, and support informed decision-making in the dynamic oil and gas sector.

What are the main challenges an Oil Gas Data Engineer faces when integrating data from multiple sources?

Oil Gas Data Engineers often work with a wide variety of data sources, including sensor data, drilling logs, production reports, and legacy databases. One of the main challenges is ensuring data quality and consistency, as these sources may use different formats, standards, and units. Engineers must also address issues like missing or incomplete data, and design robust pipelines to automate data ingestion and transformation. Close collaboration with geologists, drilling engineers, and IT specialists is essential to ensure that data integration supports business and operational goals.

What is the difference between Oil Gas Data Engineer vs Oil Gas Data Analyst?

AspectOil Gas Data EngineerOil Gas Data Analyst
CredentialsBachelor's in Engineering, Computer Science, or related field; certifications in data management or cloud platformsBachelor's in Data Science, Statistics, or related field; certifications in analytics tools
Work EnvironmentDesigning data infrastructure, managing pipelines, working with cloud platformsInterpreting data, creating reports, supporting decision-making
Employer & Industry UsageOil & gas companies, energy sector, exploration firmsOil & gas companies, consulting firms, energy analytics providers

The Oil Gas Data Engineer focuses on building and maintaining data systems and pipelines, while the Oil Gas Data Analyst interprets data to generate insights. Both roles are essential in the energy industry but serve different functions in data management and analysis.

What are popular job titles related to Oil Gas Data Engineer jobs?

For Oil Gas Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Oil Gas Data Engineer job openings in the United States as of September 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $122,112 per year, or $58.7 per hour.

Senior Data Engineer - Oil, Gas & Chemical (Kansas City)

Kansas City, MO • On-site

Burns & McDonnell
Civil Engineering Construction • 10K+ employees
Learn more about Burns & McDonnellexternal

$103K - $140K/yr

Full-time

Re-posted 10 days ago

Burns & McDonnell rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

Job description

Description
The Senior Data Engineer is responsible for leading the development of scalable, data-driven solutions that enable trusted business intelligence, analytics, and enterprise data products across the Oil, Gas and Chemical (OGC) Global Practice. This role partners with engineering, construction, business, data engineering, and technology stakeholders to establish reliable data foundations that support strategic decision-making and operational excellence.
This position serves as a technical leader in advancing the organization's Databricks-based data ecosystem through modern data engineering practices, analytics, governance, and data product development. The role is responsible for designing and optimizing data pipelines, implementing data quality controls, managing enterprise data transformations, and enabling scalable solutions that support reporting, business intelligence, and analytical initiatives.
The Senior Data Engineer establishes and promotes best practices for data management, governance, metadata management, lifecycle controls, and analytical solution development while supporting the organization's long-term data strategy. Machine learning, predictive analytics, and advanced statistical techniques may be applied where appropriate to deliver measurable business value and improve decision-making capabilities.
Key Responsibilities:
Data Platform and Data Engineering
  • Lead the design, development, implementation, and support of scalable data pipelines, orchestration frameworks, and data transformation processes utilizing the Databricks platform.
  • Design, develop, and optimize Databricks notebooks, workflows, Delta Lake architectures, and enterprise data products to support business and project delivery needs.
  • Oversee the collection, ingestion, cleansing, transformation, validation, and quality control of structured and unstructured data assets.
  • Implement database-layer transformations, query optimization strategies, and automated quality controls to support a high-performance shared data environment.
  • Partner with architects, developers, and data engineers to align solutions with enterprise architecture, governance standards, and platform best practices.

Data Governance and Data Products
  • Establish and promote data governance standards, including data ownership, lifecycle management, metadata management, and data quality controls.
  • Lead implementation of enterprise data quality frameworks and validation processes to ensure trusted and consistent data assets.
  • Develop and maintain enterprise data flow documentation that visualizes data origins, transformations, dependencies, and downstream consumption across systems.
  • Lead the development and lifecycle management of enterprise data products supporting analytics, reporting, operational processes, and business decision-making.
  • Support Code of Account (COA) mapping initiatives by identifying, modeling, validating, and governing quantity and cost-related data relationships across estimating, engineering, procurement, and construction systems.

Analytics and Business Intelligence
  • Analyze data to discover business value, trends, relationships, and opportunities that support strategic business initiatives and operational improvements.
  • Develop dashboards, reports, and visualizations utilizing Power BI and related technologies to communicate technical results and business insights.
  • Perform root cause analysis, trend analysis, and analytical investigations to support business performance and process improvement.
  • Apply machine learning, predictive analytics, and statistical techniques where appropriate to solve business problems and improve decision-making outcomes.

Leadership and Collaboration
  • Partner with engineering, construction, project delivery, and business stakeholders to understand data requirements and improve enterprise data maturity.
  • Evaluate emerging platform technologies, analytical capabilities, industry practices, and data solutions for applicability to business challenges and opportunities.
  • Train and mentor less experienced data professionals and business data users. Provide performance feedback to managers.
  • Participate in recruitment efforts and technical candidate evaluations.
  • Other duties, as assigned.

Qualifications
  • Bachelor's degree in Analytics, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related field; and a minimum of 8 years of related experience.
  • Experience designing, developing, deploying, and supporting production solutions within Databricks environments strongly preferred.
  • Strong knowledge of Databricks Lakehouse architecture, Delta Lake, Unity Catalog, Databricks Workflows, and Databricks notebooks strongly preferred.
  • Experience implementing governance, security, metadata management, and data lifecycle processes within enterprise data platforms strongly preferred.
  • Experience with Databricks, Python, SQL, and modern data engineering practices.
  • Experience developing, supporting, and optimizing scalable data pipelines, orchestration frameworks, and cloud-based data solutions.
  • Knowledge of data governance frameworks, metadata management, data quality methodologies, and lifecycle management practices.
  • Experience leading data mining, advanced analytics, machine learning, predictive analytics, and statistical modeling initiatives.
  • Experience developing enterprise data products and analytical solutions that support business intelligence and operational processes.
  • Experience with Power BI or similar data visualization and reporting technologies.
  • Experience with GCP BigQuery or similar cloud data warehouse technologies is preferred.
  • Familiarity with engineering, construction, project delivery, asset, or related technical data environments is preferred.
  • Ability to collaborate effectively with business stakeholders, architects, developers, data engineers, and application teams.
  • Ability to translate complex data ecosystems into practical, scalable, and sustainable enterprise solutions.
  • Strong problem-solving and analytical skills.
  • Strong attention to detail and commitment to data quality.
  • Excellent verbal and written communication skills with the ability to present technical concepts and findings to business audiences.

This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.
EEO/Disabled/Veterans
Job Scientific
Primary Location US-MO-Kansas City
Schedule: Full-time
Travel: Yes, 10 % of the Time
Req ID: 263549
Job Hire Type Experienced #LI-JJ #OGC

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About Burns & McDonnell

Sourced by ZipRecruiter

Burns & McDonnell assists clients of all sizes and industries by providing extensive physical services ranging from assessments, integrated security solutions, and large security architecture designs. Services we typically provide include security and safety system design, threat, risk, and vulnerability assessments, security surveys, security master planning, compliance to federal security programs, independent validation and verification of integrated security system operations, management of installation and maintenance, and staff augmentation to develop and implement facility management and protection processes.

Industry

Civil engineering construction

Company size

10,000+ Employees

Headquarters location

Kansas City, MO, US

Year founded

1898

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