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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Exxon Mobil Corporation - **Location:** Spring, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Airflow, Big Data, Databases, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Data Visualization, Data Warehousing, Software Design Patterns, DevOps, Distributed Computing Environment, Python (Programming Language), Meta-Data Management, NoSQL, Performance Tuning, Query Optimization, Cloud Services, SQL Databases, Data Streaming, Enterprise Data Management, Data Processing, Data Classification, Azure Data Factory, Snowflake, Apache Spark, IT Architecture, Information Technology, Apache Kafka, Data Management, Physical Data Models, Azure Synapse Analytics, Software Version Control, Data Pipelines, Databricks - **Published:** September 18, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28029357/Data-Engineer-Texas-Spring-1192 ## About the Role * 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. ## Description * 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)