Oil And Gas Jobs in Missouri
Oil And Gas jobs in Missouri are concentrated in St. Louis, Kansas City, and the Gulf-adjacent refining and pipeline corridors in the southeast, drawing on the state's role as a major crude and natural gas transit hub. Employers with a lasting presence include Spire Inc., Phillips 66, and Basin Electric Power Cooperative, which collectively drive demand across pipeline operations, field services, and petrochemical processing. Entry-level technicians and experienced engineers alike find consistent openings in instrumentation, drilling support, and environmental compliance. Find a role that fits below and apply directly.
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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
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
See All 6 Oil And Gas Jobs in Missouri
Find roles in Missouri that match your experience and apply in just a few clicks.
Find Oil And Gas JobsOil And Gas Jobs by City in Missouri
Where Missouri roles are concentrated, by current openings.
Oil And Gas Job Market in Missouri
A snapshot from current Missouri openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
What Missouri Employers Look For
The qualifications that appear most often in oil and gas jobs across Missouri.
- Active Missouri Petroleum Storage Tank Insurance Fund registration where site work is required
- OSHA 40-hour HAZWOPER certification for field and remediation assignments
- Experience with pipeline integrity or upstream production operations in a commercial environment
- Associate or bachelor's degree in petroleum technology, chemical engineering, or a related discipline
- Valid CDL Class A or B for transport, equipment, or mobile field unit roles
- Proficiency with SCADA systems, DCS platforms, or oil and gas production software
Oil And Gas Jobs in Missouri: Frequently Asked Questions
How do you become a oil and gas in Missouri?
Most oil and gas roles in Missouri require a combination of technical education and field certification rather than a single state license. Candidates typically complete an associate or bachelor's degree in petroleum technology, chemical engineering, or industrial technology at a Missouri institution such as Missouri S&T, then pursue OSHA HAZWOPER certification and any applicable pipeline operator qualifications. For roles involving underground storage tanks, registration with Missouri's Petroleum Storage Tank program through the Department of Natural Resources is required.
Which companies hire oil and gass in Missouri?
Missouri oil and gas roles are posted by Burns & McDonnell and Farnsworth and others right now, based on current listings on Migrate Mate as of August 2026. Missouri's pipeline infrastructure and refining activity along the Mississippi corridor mean that large midstream and utility-affiliated operators account for a significant share of open positions.
Which Missouri cities have the most oil and gas jobs?
Kansas City and St. Louis have the most oil and gas openings in Missouri right now. St. Louis anchors the largest share of roles because of its concentration of midstream infrastructure, utility headquarters, and petrochemical distribution facilities, while Kansas City draws demand from pipeline operators and energy services firms serving the broader midwest corridor.
Are there remote oil and gas jobs in Missouri?
Yes, but they're rare. About 100% of oil and gas openings tied to Missouri are remote or hybrid as of August 2026, reflecting how hands-on most roles in the sector are. The positions most likely to offer remote flexibility are in environmental compliance, GIS mapping, regulatory reporting, and data analytics rather than field operations or pipeline maintenance.
How can I get hired as a oil and gas in Missouri with little or no experience?
The most realistic entry path is a field technician or plant operator trainee role, which Missouri employers such as Spire and regional pipeline contractors regularly post for candidates without direct industry experience. Completing Missouri S&T's petroleum engineering program or a community college industrial technology certificate strengthens an application considerably. Lateral moves from utility maintenance, manufacturing operations, or chemical plant roles are common, and obtaining OSHA HAZWOPER certification before applying gives candidates a clear credential advantage.
Where can I find and apply to oil and gas jobs in Missouri?
You can find and apply to oil and gas jobs in Missouri on Migrate Mate, which lists current Missouri openings across field operations, engineering, compliance, and support functions. Find roles that fit your experience and apply directly to the employer through each listing.
See All 6 Oil And Gas Jobs in Missouri
Find roles in Missouri that match your experience and apply in just a few clicks.
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