Data Engineer

Exxon Mobil

Spring, Northern (TX, KY)

On-site

USD 110,000 - 165,000

Full time

3 days ago
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Benefits offered by this job

Pension Plan
Savings Plan
Workplace Flexibility
Medical, dental, vision plans
Wellbeing programs
Disability Plan

Job summary

ExxonMobil is seeking a senior Data Engineer to join the Low Carbon Solutions IT team. You will design, build, and scale batch and streaming data pipelines and collaborate across IT and business units to deliver reliable data products.

You will mentor junior engineers, implement robust data models, and apply modern data engineering practices with cloud platforms to support enterprise analytics and decision-making.

Qualifications

  • Bachelor’s degree in computer science, engineering, or related discipline; equivalent practical experience considered.
  • 7+ years of professional experience in data engineering or data platform development.
  • Strong Python and SQL skills for data processing and pipelines.
  • Experience building scalable batch and streaming data pipelines and data models.
  • Cloud data platforms and distributed processing frameworks knowledge.
  • CI/CD for data workflows and data quality/monitoring practices.

Responsibilities

  • Lead and gather complex business requirements and data needs.
  • Design, build, and maintain robust batch and real-time data pipelines.
  • Develop and refine logical/physical data models and data flow diagrams.
  • Integrate APIs and diverse data sources for reliable data movement.
  • Collaborate with IT and business teams to deliver data products.
  • Ensure data governance, security, and efficient data access.
  • Mentor junior Data Engineers and align with ExxonMobil standards.

Skills

Python
SQL
Data pipelines
Data modeling
ETL/ELT design
Cloud data platforms
Relational/NoSQL
Data quality/monitoring
CI/CD for data workflows

Education

Bachelor’s degree in computer science or engineering

Tools

Azure Data Factory
Azure Synapse
Databricks
Snowflake
Spark
Kafka
Airflow

Job description

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For well over a century, ExxonMobil has been at the heart of creating and growing a modern world. We embrace the power and promise of technology, pushing the boundaries of what's possible. For billions around the world, lives are better and last longer because of the innovative problem solving and reliable energy we provide. And when it comes to developing industrial solutions to reduce carbon emissions, ExxonMobil is truly the leader.

We don't stop at "good enough." We are committed to doing what's right, even if it's difficult or unpopular. We hold ourselves to high standards, challenge what's possible and invest in innovation to meet society's critical needs.

Real change begins with bold questions, drive, and ambition. Here, your talent, determination and contributions shape how far you'll go and the impact you'll make along the way.

Our future success depends on exceptional people. We invest in developing talent through meaningful work, challenging assignments, mentorship, and experiences that help build the next generation of leaders.

Our Culture

We are uniquely ExxonMobil. Integrity, care, excellence, resilience and courage, these core values determine how we work every day. At ExxonMobil, our values aren't just words— they're how we show up, focused on delivering the right answer, the right way, every day.

What role you will play on our team
  • As part of the Low Carbon Solutions (LCS) IT team, help build scalable data pipelines and build out the physical data platform as a key foundation to support multiple Low Carbon Solution (LCS) business use cases.
  • Design and implement modern, cloud-based data solutions working closely across the LCS IT team and aligned to LCS business & IT architectures.
  • Collaborate with various IT and business teams to deliver high-quality datasets & data products aligned with stakeholder needs.
What you will do
  • Leads and participates in gathering complex and often unique business requirements by defining the business problem and data requirements
  • Design, build, and maintain robust batch and / or real-time data pipelines for ingesting, processing, and transforming large-scale datasets.
  • Assist with logical data model development, and update where applicable (nice to have)
  • Develop, maintain, document and optimize physical data models & data flow diagrams to support transactional solutions, analytics, reporting, and business workflows.
  • Integrate APIs/modern integrations and data sources, ensuring reliable, monitored and efficient data movement across systems.
  • Work with cross-functional teams to profile data sources, structure, clean, and deliver data for consumers (i.e. applications, visualization tools, end users, etc.)
  • Ensure adherence to data classification and security access through appropriate storage, data management and query optimization for efficient data access.
  • Build enterprise-ready data solutions with strong data governance, quality, and reliability standards.
  • Stay up-to-date with the latest technologies and trends in data engineering and apply them to improve existing data pipelines
  • Integrates standards for platforms and frameworks for source code management, work item and project tracking, DevOps and enterprise architecture
  • Mentor Data Engineers – Associate, providing guidance and support in their professional development and with contractors to follow ExxonMobil standards and architectures
About you
Skills and Qualifications
  • Bachelor’s degree in computer science, engineering, or related discipline, equivalent practical experience delivering data solutions will also be considered.
  • 7+ years of professional experience in data engineering, data platform development, or related areas.
  • Strong proficiency in Python and SQL for data processing and pipeline development.
  • Hands-on experience building and maintaining scalable data pipelines (batch and streaming).
  • Advanced knowledge of data modeling, ETL/ELT design patterns, and data architecture best practices.
  • Experience with cloud data platforms and distributed data processing frameworks.
  • Hands-on experience with relational and/or NoSQL database technologies.
  • Experience implementing data quality, validation, and monitoring frameworks.
  • Hands-on experience building and maintaining CI/CD pipelines for data workflows.
Preferred Qualifications
  • Experience with Azure data services (e.g., Azure Data Factory, Synapse, Databricks).
  • Experience with Snowflake or other equivalent data warehouse or data platforms
  • Strong SQL expertise, including performance tuning and security model implementation.
  • Experience with big data technologies such as Spark or Kafka.
  • Familiarity with data orchestration tools (e.g., Airflow).
  • Experience integrating observability and monitoring into data pipelines.
  • Knowledge of data governance, lineage, and metadata management tools.
  • Prior experience working with Python-based data processing or optimization workflows.
  • Experience with Palantir Foundry, Ontologies, or similar enterprise data platforms
  • Strong problem-solving skills and ability to work in fast-paced, Agile environments.
  • Excellent communication and collaboration skills across technical and business teams.

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.

We offer you:

  • Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
  • Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match.
  • Workplace Flexibility: We have several programs such as "Flex your Day", providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.
  • Comprehensive medical, dental, and vision plans.
  • Culture of Health: Programs and resources to support your wellbeing.
  • Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.
  • Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.

Please note benefits may be changed from time to time without notice, subject to applicable law.

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Job ID: 108826


Nearest Major Market: Houston
Job Segment: Manufacturing Engineer, Information Technology, IT Architecture, Computer Science, Engineer, Engineering, Technology

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