ConocoPhillips

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 Sr. Data Solution Developer with Commercial/Energy trading experience to join our Commercial DT team. Reporting to the DT Supervisor, Commercial Data, this role will bridge the gap between raw energy market data and actionable commercial insights by designing high-performance data solutions, data models and automated data pipelines. You will work closely with data architects, Commercial analysts, and model developers to create scalable data assets supporting forecasting, optimization, risk modeling, and real time decision making.
This role will be part of a team of data architect, data governance analyst and data solutions developers responsible for implementing Commercial data solutions and 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.
Additionally, this role will work closely with Commercial data/quant analysts, data scientists, model owners, project/program managers, Corporate DT operational support managed services team, vendors, data architects, and the data governance analyst to provide clean and reliable data and high-quality data solutions.
This role requires a demonstrated focus on current technologies and practical analytical experience.
Position Overview
Your Responsibilities May include:
<ul>
<li>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</li>
<li>Collaborate with data architects and analysts to translate business requirements into technical specifications to develop end-to-end data solutions—from database objects to security models—that support business modeling, forecasting, and reporting requirements</li>
<li>Build and maintain scalable data infrastructure including data warehouses, data lakes, and streaming systems that support high-volume data processing and analytics workloads</li>
<li>Implement data quality validation, monitoring frameworks, and error handling mechanisms to ensure reliable data delivery and maintain system performance standards</li>
<li>Monitor system health, troubleshoot data pipeline failures, and implement automated recovery procedures to maintain operational reliability and minimize downtime</li>
<li>Monitor Commercial trading analytics models performance</li>
<li>Adhere to ConocoPhillips’ governance and compliance policies for data and processes</li>
<li>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</li>
<li>Cultivate relationships with peer Data Management groups to ensure alignment, compliance and long-term sustainability of our Commercial digital assets</li>
<li>Proactively identify opportunities for automation and continuous improvements</li>
<li>Stay current with the latest trends, technologies, and best practices in data management, application development, and data engineering</li>
<li>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</li>
</ul>
Success Profile:
<ul>
<li>Takes Accountability: Takes ownership of actions, follows through on commitments, and stands up for what is right</li>
<li>Drives Performance: Delivers positive outcomes through realistic planning and goal setting</li>
<li>Makes Decisions: Builds effective solutions using available information and makes timely, ethical decisions</li>
</ul>
Required Qualifications:
<ul>
<li>Legally authorized to work in the United States</li>
<li>Bachelor's degree or higher in Computer Science, Information Systems, Information Science, other related field, or foreign equivalent</li>
<li>5 or more years of experience in full stack Python development</li>
<li>5 or more years of experience in working with commercial or front office users in energy trading or commodity trading organization</li>
<li>Advanced level of knowledge in SQL and cloud-based data platforms (snowflake,Databricks)</li>
<li>Advanced level of knowledge of Github actions, CI/CD workflows, Docker container apps, and IAC (Terraform)</li>
<li>Intermediate level of knowledge of building and orchestrating pipelines using Airflow, Databricks Jobs or ADF</li>
<li>Intermediate level of knowledge of developing REST APIs (Flask, FastAPI, or similar)</li>
<li>Intermediate level of knowledge of Cloud DevOps (Azure, AWS)</li>
<li>Basic level of knowledge of web-scraping frameworks (Selenium, Beautiful Soup, or similar)
Basic level of knowledge of Plotly Dash or other Python-based dashboard frameworks</li>
</ul>
Preferred Qualifications:
<ul>
<li>Excellent verbal and written presentation skills, with the ability to communicate clearly and persuasively</li>
<li>Follow best practices for coding, testing, version control, peer review, and CI/CD automation</li>
<li>Intermediate knowledge of application development capabilities and ability to swiftly grasp new concepts and technologies</li>
<li>Intermediate knowledge of project processes and methodology to support project management initiatives and delivery</li>
<li>Ability to work as a Team player, and self-driven individual who can multi-task, working independently under minimal supervision and to deliver on commitments</li>
<li>Work across structured, semi-structured, and unstructured data, with strong technical experience in large distributed systems, data warehousing, data lake at scale</li>
<li>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.</li>
<li>Intermediate knowledge of application development capabilities and ability to swiftly grasp new concepts and technologies</li>
<li>Experience coding with agentic-AI frameworks (Claude Code / GitHub CoPilot)</li>
<li>Knowledge of Data Management principles, processes and data lifecycle</li>
<li>Knowledge of master data management, real-time streaming data and cloud technologies</li>
<li>Understanding of Data Science and related technologies</li>
<li>Follow best practices for coding, testing, version control, peer review, and CI/CD automation</li>
<li>Ability to take ownership, engage, lead change, achieve results, adapt, solve problems, manage risk and drive tasks to completion</li>
<li>Demonstrated ability to deal with ambiguity and maintain effective performance under stressful and uncertain conditions</li>
<li>Excellent analytical mind and proven problem-solving skills</li>
<li>Project Management skills</li>
</ul>
Apply By:
Oct 15, 2026
Sponsorship:
ConocoPhillips’ sponsorship for employment authorization in the U.S. is NOT available for this position.
Benefits Overview
ConocoPhillips offers a competitive and comprehensive benefits package designed to support your well-being and career growth:
<ul>
<li>Taking Care of Your Health &amp; Wellness : Medical, dental, vision, mental health support, and wellness programs.</li>
<li>Supporting and Building Financial Security : Competitive base pay, annual performance bonuses, and retirement savings plans.</li>
<li>Promoting Work-Life Balance : Paid time off, paid parental leave, and family support resources.</li>
<li>Offering Career Development : Access to training, mentoring, and internal career mobility tools.</li>
<li>Guiding Recognition &amp; Inclusion : Peer-nominated awards, inclusive culture, and employee resource groups.</li>
</ul>
Why ConocoPhillips
At ConocoPhillips, we believe our people power the future of energy. We’re committed to creating a workplace where employees feel valued, supported, and inspired to grow—professionally and personally.
We don’t just offer jobs—we offer meaningful careers in a company that values how we work as much as what we achieve.
EEO:
In the US, ConocoPhillips is an Equal Opportunity 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.

Commercial DT Senior Data Solution Developer

Commercial DT Senior Data Solution Developer

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