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Commercial IT Sr. Data Solution Developer

LinkedIn ConocoPhillips Houston, TX
Mid-Senior level Posted March 30, 2026 Job link
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Requirements
  • This role requires a demonstrated focus on current technologies and practical analytical experience.
  • Legally authorized to work in the United States
  • 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
Preferred Skills
  • 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
Education
  • (Not required) – Bachelor's degree or higher in Computer Science, Information Systems, Information Science, or related field