Commercial IT Sr. Data Solution Developer
- 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
- 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
- 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
- Monitor system health, troubleshoot data pipeline failures, and implement automated recovery procedures to maintain operational reliability and minimize downtime
- 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, application development, 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
- Legally authorized to work in the United States
- Bachelor's degree or higher in Computer Science, Information Systems, Information Science, or related field
- 5 or more years of experience in full stack software development using Python
- 5 or more years of experience with Commercial/Energy Trading
- 1 or more years of experience of modern cloud-based data platform technologies e.g., Snowflake, ADLS, DataBricks
- Advanced level of knowledge of building and orchestrating pipelines using Airflow, Databricks Jobs, or ADF
- Advanced level of knowledge of data visualization/analytics tools (Spotfire, Power BI, Sigma) plus strong Excel skills
- Advanced level of knowledge of SQL and relational data modeling experience across traditional RDBMS and cloud data platforms (Snowflake, SQL Server, PostgreSQL)
- Advanced level of knowledge of GitHub, CI/CD workflows, Docker, and Infrastructure as Code (Terraform)
- Intermediate level of knowledge of developing REST APIs (Flask, FastAPI, or similar)
- Intermediate level of knowledge of web-scraping frameworks (Selenium, Beautiful Soup, or similar)
- Intermediate level of knowledge of Cloud DevOps (Azure, AWS)
- Intermediate knowledge of project processes and methodology to support project management initiatives and delivery
- Basic level of knowledge of Plotly Dash or other Python-based dashboard frameworks
- Excellent verbal and written presentation skills, with the ability to communicate clearly and persuasively
- 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
- Work across structured, semi-structured, and unstructured data, with strong technical experience in large distributed systems, data warehousing, data lake at scale
- 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 knowledge of application development capabilities and ability to swiftly grasp new concepts and technologies
- Experience coding with agentic-AI frameworks (Claude Code / GitHub CoPilot)
- Knowledge of Data Management principles, processes and data lifecycle
- Knowledge of master data management, real-time streaming data and cloud technologies
- Understanding of Data Science and related technologies
- Follow best practices for coding, testing, version control, peer review, and CI/CD automation
- 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
- Accountability & Integrity: Takes ownership of actions, follows through on commitments, and stands up for what is right
- Results Orientation: Delivers positive outcomes through realistic planning and goal setting
- Decision-Making: Builds effective solutions using available information and makes timely, ethical decisions
- Taking Care of Your Health & Wellness : Medical, dental, vision, mental health support, and wellness programs.
- Supporting and Building Financial Security : Competitive base pay, annual performance bonuses, and retirement savings plans.
- Promoting Work-Life Balance : Paid time off, paid parental leave, and family support resources.
- Offering Career Development : Access to training, mentoring, and internal career mobility tools.
- Guiding Recognition & Inclusion : Peer-nominated awards, inclusive culture, and employee resource groups.
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