Welcome to ConocoPhillips, where innovation and excellence create a platform for opportunity and growth. Come realize your full potential here.

Who We Are

We are one of the world's largest independent exploration and production companies, based on proved reserves and production of liquids and natural gas. With operations and activities in 13 countries, we explore for, develop, and produce crude oil and natural gas globally. We are challenged with an important job to safely find and deliver energy to the world. Our employees are critical to our success, and with them we power civilization.

We're grounded by our SPIRIT Values - safety, people, integrity, responsibility, innovation, and teamwork. These values position us to deliver strong performance in a dynamic business - but not at all costs. We believe it's not just what we do - it's how we do it - that sets us apart.

Fostering an Inclusive Work Environment

To deliver superior performance, we create an environment that respects the contributions and differences of every individual. Wherever possible, we use these differences to drive competitive business advantage, personal growth and, ultimately, create business success.

Job Summary

We are seeking a highly skilled and experienced IT Sr. Data Engineer, Commercial to join our team. Reporting to the IT Supervisor, Commercial Data, this role will be responsible for building data pipelines from source systems and external data providers into the data management and analytics environments with validation to allow creation and operations of analytical solutions and Commercial models.

The Commercial organization is going through transformation initiatives moving from ETRM-centric to data-centric architectural design and implementing new tech strategies including new ETRM systems. The initial focus of this role will be building/enhancing Commercial analytics data ingestion pipelines for Commercial models and supporting the Commercial Transformation initiatives.

The IT Sr. Data Engineer, Commercial will be part of a team of data architects, a data governance analyst and data engineers responsible for implementing Commercial data pipelines while ensuring a high level of data quality based on corporate and industry standards. The team will also be responsible for developing and enforcing standards for data management and implementing data technology solutions for structured and unstructured datasets as well as data catalogs and data lineage to enhance visibility and access to data for Commercial groups.

This role will work closely with Corporate IT operational support managed services team, database administrators, analytics architect, and IT infrastructure support to ensure system availability and timely issue resolution.

This role will be proficient at integrating and preparing large, varied datasets including time series data and designing specialized database tables and information links within the environment. The person will work closely with Commercial data/quant analysts, data scientists, model owners, project/program managers, data architects, and the data governance analyst to provide clean and reliable data.

This role requires a strong and current technology focus, practical analytical experience, and excellent written and communications skills.

Position Overview

Your responsibilities may include:

• Design and develop robust data pipelines, ETL/ELT processes, and workflow orchestration systems to automate data ingestion, transformation, and distribution across multiple platforms for Commercial
• Build and maintain scalable data infrastructure including data warehouses, data lakes, and streaming systems that support high-volume data processing and analytics workloads
• Implement data quality validation, monitoring frameworks, and error handling mechanisms to ensure reliable data delivery and maintain system performance standards
• Collaborate with data architects and analysts to translate business requirements into technical specifications for data processing solutions and system enhancements
• Optimize data processing performance through query tuning, indexing strategies, and resource management to support efficient analytics and operational reporting
• Establish data security protocols, access controls, and backup procedures to protect sensitive information and ensure business continuity for critical data systems
• Monitor system health, troubleshoot data pipeline failures, and implement automated recovery
• procedures to maintain operational reliability and minimize downtime
• Collaborate with business subject matter experts and data scientists to create datasets and engineer features for analytical models
• Monitor Commercial trading analytics models performance
• Adhere to ConocoPhillips' governance and compliance policies for data and processes
• Collaborate with Data Architect to develop and evaluate design options to ingest and catalogue real-time, structured, and unstructured datasets into Data Management environments per Commercial business priorities and use cases
• Cultivate relationships with peer Data Management groups to ensure alignment, compliance and long-term sustainability of our Commercial digital assets
• Proactively identify opportunities for automation and continuous improvements
• Stays current with the latest trends, technologies, and best practices in data management and data engineering
• Participate in and support Agile quarterly planning for the team.
• Expertise in optimizing queries and performance by establishing standards to minimize system workload and costs

Basic/Required:

• Legally authorized to work in the United States
• Bachelor's degree or higher in Computer Science, Math, Engineering, Statistics, Information Systems, Information Science, or related fields
• 10 or more years of hands-on experience in designing, scaling and implementing data pipelines for structured and non-structured data into cloud-based data platforms
• 10 or more years of experience in data engineering in an enterprise environment with demonstrated strength in SQL, data modeling, ETL development, and data warehousing
• 10 or more years of Experience with an RDBMS (Oracle, PostgreSQL)
• 7 or more years of experience with practical programming skills including advanced knowledge of Python
• 5 or more years of experience of modern cloud-based data platform technologies e.g., Snowflake, ADLS, Data Bricks
• 5 or more years of experience with data visualization/analytics tools (Spotfire, Power BI, Sigma) advanced Excel skills

Preferred:

• MS Degree in Computer Science, Math, Engineering, Statistics, Information Systems, Information Science, or related fields
• 5 or more years of Energy industry and Commercial experience
• 5 or more years of Experience with Cloud DevOps (Azure, AWS Cloud Formation Terraform) and Infrastructure as Code (IaC)
• Experience with handling Commercial operational and trading analytics data
• Experience with data engineering and data analytics tool set such as Airflow, Streamlit, UiPath, Document AI, etc.
• Hands on experience and proficiency in Data Management tools - SQL, SDE, JSON, XML, scripting languages such as Python Big Data technology stack including NoSQL, Spark, Hive, Kafka, StreamSets, IICS, ADF etc.
• Intermediate level of knowledge one or more programming languages (R, C++, Java, Perl, Spark)
• Work across structured, semi-structured, and unstructured data, with strong technical experience in large distributed systems, data warehousing, data lake at scale
• Comprehensive knowledge of Data Management principles, processes and data lifecycle
• Advanced knowledge of master data management, real-time streaming data and cloud technologies
• Understanding of Data Science and related technologies
• Excellent verbal and written presentation skills, with the ability to communicate clearly and persuasively
• An understanding of project processes and methodology to support project management initiatives and delivery
• Team player, and self-driven individual who can multi-task, work independently under minimal supervision and deliver on commitments
• Open attitude towards and ability to learn and utilize new technologies and standards
• Ability to take ownership, engage, lead change, achieve results, adapt, solve problems, manage risk and drive tasks to completion
• Demonstrated ability to deal with ambiguity and maintain effective performance under stressful and uncertain conditions
• Excellent analytical mind and proven problem-solving skills
• Project Management skills
• Delivers positive results through realistic planning to accomplish goals
• Builds effective solutions based on available information and makes timely decisions that are safe and ethical

Apply By:

Jan 19, 2026

Sponsorship:

ConocoPhillips' sponsorship for employment authorization in the U.S. is NOT available for this position.

EEO:

In the US, ConocoPhillips is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information, or any other legally protected status.