Senior Data Engineer

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

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 any cost. We believe it's not just what we do - it's how we do it - that sets us apart.

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.

We are seeking a highly skilled and experienced IT Senior Data Engineer to join our team. Reporting to the IT Director Data Engineering and Analytics, this position is responsible for designing, building, and maintaining scalable data pipelines into our enterprise cloud data warehouse that enable analytics, reporting, and advanced data solutions across the organization.

The role is part of a cross functional team that includes other data and analytics engineers and will work closely with the data architecture team which is responsible for establishing enterprise data standards and implementing new data management technologies and patterns.

This position also works closely with IT operations, database administrators, infrastructure teams, analytics leaders, and business stakeholders to ensure system availability, performance, and timely resolution of data issues.

Your responsibilities may include:

• Design, develop, and maintain robust data pipelines, ETL/ELT processes, and workflow orchestration solutions to automate data ingestion, transformation, and delivery across enterprise platforms
• Build and support scalable data infrastructure, including data warehouses, data lakes, and streaming of near‑real‑time data systems
• Implement data quality validation, monitoring, and error‑handling frameworks to ensure reliable and trusted data delivery
• Collaborate with data architects, analysts, and stakeholders to translate business and technical requirements into effective data solutions
• Optimize data processing performance through query tuning, indexing strategies, and efficient resource utilization
• Establish and enforce data security, access controls, backup, and recovery practices to protect sensitive data and ensure business continuity
• Monitor system health, troubleshoot pipeline and platform issues, and implement automated recovery and alerting mechanisms
• Partner with analytics teams and data scientists to create curated datasets and engineer features for analytical and machine learning models
  
  Contribute to enterprise data governance initiatives, including metadata management, data cataloging, and lineage
• Identify opportunities for automation, standardization, and continuous improvement across data engineering processes
• Stay current with emerging data engineering technologies, tools, and best practices
• Participate in Agile planning, execution, and delivery activities

• Legally authorized to work in the United States
• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, Information Systems, related field, or foreign equivalent
• 7 or more years of experience designing, building, and scaling data pipelines for structured and unstructured data in enterprise environments
• 3 or more years experience with Informatica Intelligent Data Management Cloud (IDMC), including Cloud Data Integration, ingestion pipelines, and monitoring
• 5 or more experience with modern cloud‑based data platforms…