IT Sr. Data Engineer, Commercial

IT Sr. Data Engineer, Commercial page is loaded## IT Sr. Data Engineer, Commercial remote type:
Fully Onsite locations:
Houston, TXtime type:
Full time posted on:
Posted Todayjob requisition :
REQ-005333

Welcome to Conoco Phillips, 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…