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Senior Data Engineer

Job post no longer accepts applications

ConocoPhillips
25 days ago
Posted date
25 days ago
N/A
Minimum level
N/A
Full-timeEmployment type
Full-time
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 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.

Position Overview

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


Basic/Required:

  • 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 (e.g., Snowflake, Azure Data Lake, Databricks, or equivalent)
  • Expert level of knowledge in SQL, data modeling, ETL/ELT development, and data warehousing concepts
  • Expert level of knowledge with relational database systems (e.g., Oracle, PostgreSQL, or similar)
  • Advanced level of proficiency in programming skills, particularly in Python


Preferred:

  • Master's degree in Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field
  • 3 or more years of experience with data visualization or analytics tools (e.g., Power BI or similar), with strong Excel skills
  • 3 or more years of experience with cloud DevOps and Infrastructure as Code (IaC) tools and practices
  • Experience working in Agile or hybrid delivery models
  • Expert level of knowledge of data management principles, including data lifecycle, metadata, and governance
  • Intermediate level of knowledge of additional programming languages or frameworks (e.g., Java, Spark, R)
  • Intermediate level of knowledge with data orchestration, streaming, and automation tools (e.g., Airflow, Kafka, or similar)
  • Exposure to data science and advanced analytics concepts
  • Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly
  • Strong problem‑solving skills, ability to work independently, and comfort operating in complex enterprise environments
  • Delivers positive results through realistic planning to accomplish goals
  • Builds effective solutions based on available information and makes timely decisions that are safe and ethical
  • Listens actively and invites new ideas for exchanged opinions, then influences and acts to drive positive performance and achieve results


Apply By:

Feb 22, 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:

  • Health & Wellness: Medical, dental, vision, mental health support, and wellness programs.
  • Financial Security: Competitive base pay, annual performance bonuses, and retirement savings plans.
  • Work-Life Balance: Paid time off, paid parental leave, and family support resources.
  • Career Development: Access to training, mentoring, and internal career mobility tools.
  • Recognition & Inclusion: Peer-nominated awards, inclusive culture, and employee resource groups.


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/Affirmative Action 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.
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JOB SUMMARY
Senior Data Engineer
ConocoPhillips
Houston
25 days ago
N/A
Full-time

Job post no longer accepts applications
Senior Data Engineer

Job post no longer accepts applications