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IT Sr. Data Engineer, Commercial Careers at ConocoPhillips - Houston, TX | Apply Now!

ConocoPhillips

IT Sr. Data Engineer, Commercial Careers at ConocoPhillips - Houston, TX | Apply Now!

full-timePosted: Feb 9, 2026

Job Description

IT Sr. Data Engineer, Commercial - Houston, TX

Role Overview

ConocoPhillips is seeking a highly motivated and experienced IT Sr. Data Engineer to join our Commercial team in Houston, TX. This role is pivotal in building and maintaining data pipelines that support our Commercial organization's transformation towards a data-centric architecture. You will be responsible for designing and implementing robust data solutions, ensuring high data quality, and collaborating with various stakeholders to deliver valuable insights.

As an IT Sr. Data Engineer, you will play a crucial role in the development and maintenance of our data infrastructure. You will be responsible for building and enhancing Commercial analytics data ingestion pipelines for Commercial models and supporting the Commercial Transformation initiatives. This includes designing and developing ETL/ELT processes, building data warehouses and data lakes, and ensuring data quality and security.

Day in the Life

Your day-to-day activities as an IT Sr. Data Engineer at ConocoPhillips might include:

  • Designing and developing new data pipelines for ingesting data from various sources.
  • Optimizing existing data pipelines for performance and scalability.
  • Collaborating with data scientists and analysts to understand their data needs.
  • Troubleshooting data quality issues and implementing solutions.
  • Participating in code reviews and knowledge sharing sessions.
  • Attending meetings with stakeholders to discuss project progress and requirements.
  • Researching and evaluating new data engineering technologies.
  • Working with the data governance analyst to implement data governance policies and procedures.
  • Monitoring data pipeline performance and ensuring data availability.
  • Documenting data pipeline designs and processes.
  • Ensuring compliance with data security standards and regulations.
  • Automating data-related tasks to improve efficiency.

Why Houston, TX?

Houston, Texas, is a vibrant and diverse city with a thriving economy and a high quality of life. As the energy capital of the world, Houston offers numerous opportunities for professionals in the oil and gas industry. The city boasts a low cost of living compared to other major metropolitan areas, making it an attractive place to live and work.

Houston is also known for its rich cultural scene, with world-class museums, theaters, and restaurants. The city offers a wide range of recreational activities, from outdoor parks and bayous to professional sports teams. With its diverse population and welcoming atmosphere, Houston is a great place to call home.

Career Path at ConocoPhillips

ConocoPhillips is committed to providing employees with opportunities for growth and development. As an IT Sr. Data Engineer, you can advance your career through various paths, including:

  • Principal Data Engineer: Lead complex data engineering projects and provide technical guidance to junior engineers.
  • Data Architect: Design and implement data architectures that support the company's business goals.
  • Data Science Manager: Lead a team of data scientists and drive the development of data-driven solutions.
  • IT Manager: Manage a team of IT professionals and oversee the delivery of IT services.

ConocoPhillips also offers a variety of training and development programs to help employees enhance their skills and knowledge. The company encourages employees to take ownership of their careers and provides the resources and support they need to succeed.

Salary & Benefits

The estimated salary range for this IT Sr. Data Engineer, Commercial position in Houston, TX is $130,000 to $180,000 per year. The actual salary will be based on experience, skills, and qualifications.

In addition to a competitive salary, ConocoPhillips offers a comprehensive benefits package that includes:

  • Health insurance (medical, dental, vision)
  • Paid time off (vacation, sick leave, holidays)
  • 401(k) retirement savings plan with company matching
  • Employee stock purchase plan
  • Life insurance and disability coverage
  • Tuition reimbursement
  • On-site fitness center and wellness programs
  • Employee assistance program (EAP)
  • Flexible work arrangements

Safety Culture

Safety is a core value at ConocoPhillips. The company is committed to providing a safe and healthy work environment for all employees. ConocoPhillips has a comprehensive safety management system that includes policies, procedures, and training programs designed to prevent accidents and injuries.

The company also encourages employees to report any safety concerns they may have. ConocoPhillips believes that everyone has a role to play in creating a safe workplace.

How to Apply

Interested candidates are encouraged to apply online through the ConocoPhillips careers website. Please submit your resume and cover letter, highlighting your relevant experience and qualifications.

The application process typically involves an initial screening of applications, followed by interviews with hiring managers and team members. The final step is a background check and offer of employment.

FAQ

  1. What is the company culture like at ConocoPhillips?

    ConocoPhillips fosters a culture of innovation, teamwork, and respect. The company values its employees and provides opportunities for growth and development.

  2. What are the key skills and qualifications for this role?

    The key skills and qualifications include data pipeline development, ETL/ELT processes, data warehousing, SQL, Python, and cloud computing experience.

  3. What is the work-life balance like at ConocoPhillips?

    ConocoPhillips offers flexible work arrangements to help employees balance their work and personal lives.

  4. What is the career path for this role?

    The career path includes opportunities to advance to Principal Data Engineer, Data Architect, Data Science Manager, or IT Manager.

  5. What is the benefits package like?

    The benefits package includes health insurance, paid time off, 401(k) retirement savings plan, and tuition reimbursement.

  6. Does ConocoPhillips offer relocation assistance?

    Relocation assistance may be available for qualified candidates.

  7. What is the interview process like?

    The interview process typically involves an initial screening, followed by interviews with hiring managers and team members.

  8. What is the company's commitment to safety?

    Safety is a core value at ConocoPhillips, and the company is committed to providing a safe and healthy work environment.

  9. What opportunities are there for professional development?

    ConocoPhillips offers a variety of training and development programs to help employees enhance their skills and knowledge.

  10. What is the typical team structure for a Data Engineer?

    Typically, a Data Engineer will work within a team composed of other Data Engineers, Data Scientists, Data Architects, and Data Analysts. These teams are often overseen by a Data Engineering Manager or a similar role, and collaborate closely with business stakeholders, IT operations, and compliance teams to ensure data systems are reliable, secure, and aligned with business needs.

Locations

  • Houston, Texas, United States

Salary

Estimated Salary Rangehigh confidence

130,000 - 180,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Pipeline Developmentintermediate
  • ETL/ELT Processesintermediate
  • Data Warehousingintermediate
  • Data Lake Managementintermediate
  • Streaming Systemsintermediate
  • SQLintermediate
  • Pythonintermediate
  • Cloud Computing (AWS, Azure, GCP)intermediate
  • Data Modelingintermediate
  • Database Administrationintermediate
  • Commercial Data Analysisintermediate
  • ETRM Systemsintermediate
  • Data Governanceintermediate
  • Data Quality Assuranceintermediate
  • Big Data Technologies (Spark, Hadoop)intermediate
  • Time Series Data Analysisintermediate
  • Data Visualization (Tableau, Power BI)intermediate
  • Machine Learningintermediate
  • Statistical Analysisintermediate
  • Data Integrationintermediate
  • Data Migrationintermediate
  • Data Securityintermediate
  • API Developmentintermediate
  • DevOpsintermediate
  • Agile Methodologiesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, or a related field required; Master's degree preferred. (experience)
  • Minimum 5 years of experience in data engineering roles, with a focus on building and maintaining data pipelines. (experience)
  • Strong proficiency in SQL and at least one programming language (Python, Java, Scala). (experience)
  • Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Azure Synapse, Google BigQuery). (experience)
  • Hands-on experience with ETL/ELT tools (e.g., Informatica, DataStage, Apache Airflow). (experience)
  • Knowledge of data modeling techniques and database design principles. (experience)
  • Experience with big data technologies (e.g., Spark, Hadoop, Kafka) is a plus. (experience)
  • Familiarity with data governance principles and data quality best practices. (experience)
  • Experience working with time series data and commercial data sets is highly desirable. (experience)
  • Excellent problem-solving and analytical skills. (experience)
  • Strong communication and interpersonal skills. (experience)
  • Ability to work independently and as part of a team. (experience)
  • Experience with ETRM systems is a significant advantage. (experience)

Responsibilities

  • Design, develop, and maintain robust data pipelines for ingesting, transforming, and loading data from various sources into data warehouses and data lakes.
  • Implement ETL/ELT processes to ensure data quality, consistency, and accuracy.
  • Build and maintain scalable data infrastructure to support high-volume data processing and analytics workloads.
  • Develop and enforce data management standards and best practices.
  • Collaborate with data architects, data scientists, and business stakeholders to understand data requirements and deliver data solutions.
  • Work closely with the Corporate IT operational support managed services team, database administrators, analytics architect, and IT infrastructure support to ensure system availability and timely issue resolution.
  • Monitor data pipeline performance and troubleshoot issues to ensure data availability and reliability.
  • Optimize data pipelines for performance and scalability.
  • Implement data security measures to protect sensitive data.
  • Develop and maintain data catalogs and data lineage to enhance visibility and access to data.
  • Stay up-to-date with the latest data engineering technologies and trends.
  • Participate in code reviews and contribute to the improvement of data engineering processes.
  • Automate data ingestion, transformation, and distribution across multiple platforms for Commercial applications
  • Integrate and prepare large, varied datasets including time series data and designing specialized database tables and information links within the environment.

Benefits

  • general: Competitive salary and performance-based bonuses.
  • general: Comprehensive health insurance (medical, dental, vision).
  • general: Generous paid time off (vacation, sick leave, holidays).
  • general: 401(k) retirement savings plan with company matching.
  • general: Employee stock purchase plan.
  • general: Life insurance and disability coverage.
  • general: Tuition reimbursement for continuing education.
  • general: Professional development opportunities.
  • general: On-site fitness center and wellness programs.
  • general: Employee assistance program (EAP).
  • general: Flexible work arrangements (depending on role and business needs).
  • general: Relocation assistance (if applicable).
  • general: Paid parental leave.
  • general: Adoption assistance
  • general: Commuting assistance.

Target Your Resume for "IT Sr. Data Engineer, Commercial Careers at ConocoPhillips - Houston, TX | Apply Now!" , ConocoPhillips

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Tags & Categories

Data EngineeringETRMCommercialHoustonConocoPhillipsIT Sr. Data EngineerCommercial Data EngineerConocoPhillips careersData pipeline development HoustonETL ELT processesData warehousing jobs HoustonSQL Python data engineeringCloud computing data engineerCommercial data analysisETRM systems jobsData governance jobsData quality assuranceBig data technologies HoustonTime series data analysisData visualization jobsMachine learning engineer HoustonStatistical analysis data engineerData integration specialistData migration expertData security engineerAPI development jobs HoustonDevOps data engineerAgile methodologies data engineerOil and Gas Data EngineerEnergy Sector Data EngineeringEnergyOil & GasEngineeringOperations

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ConocoPhillips logo

IT Sr. Data Engineer, Commercial Careers at ConocoPhillips - Houston, TX | Apply Now!

ConocoPhillips

IT Sr. Data Engineer, Commercial Careers at ConocoPhillips - Houston, TX | Apply Now!

full-timePosted: Feb 9, 2026

Job Description

IT Sr. Data Engineer, Commercial - Houston, TX

Role Overview

ConocoPhillips is seeking a highly motivated and experienced IT Sr. Data Engineer to join our Commercial team in Houston, TX. This role is pivotal in building and maintaining data pipelines that support our Commercial organization's transformation towards a data-centric architecture. You will be responsible for designing and implementing robust data solutions, ensuring high data quality, and collaborating with various stakeholders to deliver valuable insights.

As an IT Sr. Data Engineer, you will play a crucial role in the development and maintenance of our data infrastructure. You will be responsible for building and enhancing Commercial analytics data ingestion pipelines for Commercial models and supporting the Commercial Transformation initiatives. This includes designing and developing ETL/ELT processes, building data warehouses and data lakes, and ensuring data quality and security.

Day in the Life

Your day-to-day activities as an IT Sr. Data Engineer at ConocoPhillips might include:

  • Designing and developing new data pipelines for ingesting data from various sources.
  • Optimizing existing data pipelines for performance and scalability.
  • Collaborating with data scientists and analysts to understand their data needs.
  • Troubleshooting data quality issues and implementing solutions.
  • Participating in code reviews and knowledge sharing sessions.
  • Attending meetings with stakeholders to discuss project progress and requirements.
  • Researching and evaluating new data engineering technologies.
  • Working with the data governance analyst to implement data governance policies and procedures.
  • Monitoring data pipeline performance and ensuring data availability.
  • Documenting data pipeline designs and processes.
  • Ensuring compliance with data security standards and regulations.
  • Automating data-related tasks to improve efficiency.

Why Houston, TX?

Houston, Texas, is a vibrant and diverse city with a thriving economy and a high quality of life. As the energy capital of the world, Houston offers numerous opportunities for professionals in the oil and gas industry. The city boasts a low cost of living compared to other major metropolitan areas, making it an attractive place to live and work.

Houston is also known for its rich cultural scene, with world-class museums, theaters, and restaurants. The city offers a wide range of recreational activities, from outdoor parks and bayous to professional sports teams. With its diverse population and welcoming atmosphere, Houston is a great place to call home.

Career Path at ConocoPhillips

ConocoPhillips is committed to providing employees with opportunities for growth and development. As an IT Sr. Data Engineer, you can advance your career through various paths, including:

  • Principal Data Engineer: Lead complex data engineering projects and provide technical guidance to junior engineers.
  • Data Architect: Design and implement data architectures that support the company's business goals.
  • Data Science Manager: Lead a team of data scientists and drive the development of data-driven solutions.
  • IT Manager: Manage a team of IT professionals and oversee the delivery of IT services.

ConocoPhillips also offers a variety of training and development programs to help employees enhance their skills and knowledge. The company encourages employees to take ownership of their careers and provides the resources and support they need to succeed.

Salary & Benefits

The estimated salary range for this IT Sr. Data Engineer, Commercial position in Houston, TX is $130,000 to $180,000 per year. The actual salary will be based on experience, skills, and qualifications.

In addition to a competitive salary, ConocoPhillips offers a comprehensive benefits package that includes:

  • Health insurance (medical, dental, vision)
  • Paid time off (vacation, sick leave, holidays)
  • 401(k) retirement savings plan with company matching
  • Employee stock purchase plan
  • Life insurance and disability coverage
  • Tuition reimbursement
  • On-site fitness center and wellness programs
  • Employee assistance program (EAP)
  • Flexible work arrangements

Safety Culture

Safety is a core value at ConocoPhillips. The company is committed to providing a safe and healthy work environment for all employees. ConocoPhillips has a comprehensive safety management system that includes policies, procedures, and training programs designed to prevent accidents and injuries.

The company also encourages employees to report any safety concerns they may have. ConocoPhillips believes that everyone has a role to play in creating a safe workplace.

How to Apply

Interested candidates are encouraged to apply online through the ConocoPhillips careers website. Please submit your resume and cover letter, highlighting your relevant experience and qualifications.

The application process typically involves an initial screening of applications, followed by interviews with hiring managers and team members. The final step is a background check and offer of employment.

FAQ

  1. What is the company culture like at ConocoPhillips?

    ConocoPhillips fosters a culture of innovation, teamwork, and respect. The company values its employees and provides opportunities for growth and development.

  2. What are the key skills and qualifications for this role?

    The key skills and qualifications include data pipeline development, ETL/ELT processes, data warehousing, SQL, Python, and cloud computing experience.

  3. What is the work-life balance like at ConocoPhillips?

    ConocoPhillips offers flexible work arrangements to help employees balance their work and personal lives.

  4. What is the career path for this role?

    The career path includes opportunities to advance to Principal Data Engineer, Data Architect, Data Science Manager, or IT Manager.

  5. What is the benefits package like?

    The benefits package includes health insurance, paid time off, 401(k) retirement savings plan, and tuition reimbursement.

  6. Does ConocoPhillips offer relocation assistance?

    Relocation assistance may be available for qualified candidates.

  7. What is the interview process like?

    The interview process typically involves an initial screening, followed by interviews with hiring managers and team members.

  8. What is the company's commitment to safety?

    Safety is a core value at ConocoPhillips, and the company is committed to providing a safe and healthy work environment.

  9. What opportunities are there for professional development?

    ConocoPhillips offers a variety of training and development programs to help employees enhance their skills and knowledge.

  10. What is the typical team structure for a Data Engineer?

    Typically, a Data Engineer will work within a team composed of other Data Engineers, Data Scientists, Data Architects, and Data Analysts. These teams are often overseen by a Data Engineering Manager or a similar role, and collaborate closely with business stakeholders, IT operations, and compliance teams to ensure data systems are reliable, secure, and aligned with business needs.

Locations

  • Houston, Texas, United States

Salary

Estimated Salary Rangehigh confidence

130,000 - 180,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Pipeline Developmentintermediate
  • ETL/ELT Processesintermediate
  • Data Warehousingintermediate
  • Data Lake Managementintermediate
  • Streaming Systemsintermediate
  • SQLintermediate
  • Pythonintermediate
  • Cloud Computing (AWS, Azure, GCP)intermediate
  • Data Modelingintermediate
  • Database Administrationintermediate
  • Commercial Data Analysisintermediate
  • ETRM Systemsintermediate
  • Data Governanceintermediate
  • Data Quality Assuranceintermediate
  • Big Data Technologies (Spark, Hadoop)intermediate
  • Time Series Data Analysisintermediate
  • Data Visualization (Tableau, Power BI)intermediate
  • Machine Learningintermediate
  • Statistical Analysisintermediate
  • Data Integrationintermediate
  • Data Migrationintermediate
  • Data Securityintermediate
  • API Developmentintermediate
  • DevOpsintermediate
  • Agile Methodologiesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, or a related field required; Master's degree preferred. (experience)
  • Minimum 5 years of experience in data engineering roles, with a focus on building and maintaining data pipelines. (experience)
  • Strong proficiency in SQL and at least one programming language (Python, Java, Scala). (experience)
  • Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Azure Synapse, Google BigQuery). (experience)
  • Hands-on experience with ETL/ELT tools (e.g., Informatica, DataStage, Apache Airflow). (experience)
  • Knowledge of data modeling techniques and database design principles. (experience)
  • Experience with big data technologies (e.g., Spark, Hadoop, Kafka) is a plus. (experience)
  • Familiarity with data governance principles and data quality best practices. (experience)
  • Experience working with time series data and commercial data sets is highly desirable. (experience)
  • Excellent problem-solving and analytical skills. (experience)
  • Strong communication and interpersonal skills. (experience)
  • Ability to work independently and as part of a team. (experience)
  • Experience with ETRM systems is a significant advantage. (experience)

Responsibilities

  • Design, develop, and maintain robust data pipelines for ingesting, transforming, and loading data from various sources into data warehouses and data lakes.
  • Implement ETL/ELT processes to ensure data quality, consistency, and accuracy.
  • Build and maintain scalable data infrastructure to support high-volume data processing and analytics workloads.
  • Develop and enforce data management standards and best practices.
  • Collaborate with data architects, data scientists, and business stakeholders to understand data requirements and deliver data solutions.
  • Work closely with the Corporate IT operational support managed services team, database administrators, analytics architect, and IT infrastructure support to ensure system availability and timely issue resolution.
  • Monitor data pipeline performance and troubleshoot issues to ensure data availability and reliability.
  • Optimize data pipelines for performance and scalability.
  • Implement data security measures to protect sensitive data.
  • Develop and maintain data catalogs and data lineage to enhance visibility and access to data.
  • Stay up-to-date with the latest data engineering technologies and trends.
  • Participate in code reviews and contribute to the improvement of data engineering processes.
  • Automate data ingestion, transformation, and distribution across multiple platforms for Commercial applications
  • Integrate and prepare large, varied datasets including time series data and designing specialized database tables and information links within the environment.

Benefits

  • general: Competitive salary and performance-based bonuses.
  • general: Comprehensive health insurance (medical, dental, vision).
  • general: Generous paid time off (vacation, sick leave, holidays).
  • general: 401(k) retirement savings plan with company matching.
  • general: Employee stock purchase plan.
  • general: Life insurance and disability coverage.
  • general: Tuition reimbursement for continuing education.
  • general: Professional development opportunities.
  • general: On-site fitness center and wellness programs.
  • general: Employee assistance program (EAP).
  • general: Flexible work arrangements (depending on role and business needs).
  • general: Relocation assistance (if applicable).
  • general: Paid parental leave.
  • general: Adoption assistance
  • general: Commuting assistance.

Target Your Resume for "IT Sr. Data Engineer, Commercial Careers at ConocoPhillips - Houston, TX | Apply Now!" , ConocoPhillips

Get personalized recommendations to optimize your resume specifically for IT Sr. Data Engineer, Commercial Careers at ConocoPhillips - Houston, TX | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "IT Sr. Data Engineer, Commercial Careers at ConocoPhillips - Houston, TX | Apply Now!" , ConocoPhillips

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data EngineeringETRMCommercialHoustonConocoPhillipsIT Sr. Data EngineerCommercial Data EngineerConocoPhillips careersData pipeline development HoustonETL ELT processesData warehousing jobs HoustonSQL Python data engineeringCloud computing data engineerCommercial data analysisETRM systems jobsData governance jobsData quality assuranceBig data technologies HoustonTime series data analysisData visualization jobsMachine learning engineer HoustonStatistical analysis data engineerData integration specialistData migration expertData security engineerAPI development jobs HoustonDevOps data engineerAgile methodologies data engineerOil and Gas Data EngineerEnergy Sector Data EngineeringEnergyOil & GasEngineeringOperations

Answer 10 quick questions to check your fit for IT Sr. Data Engineer, Commercial Careers at ConocoPhillips - Houston, TX | Apply Now! @ ConocoPhillips.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.