Data Engineer Jobs in Texas, United States

Lakehouse and AI Data Platform team at Goldman Sachs builds the firm’s modern data foundation for AI and analytics. The Data Engineer designs, builds, tests and supports batch and streaming pipelines, data models and curated datasets, ensuring reliability, scalability and quality.

Application Software team at SpaceX builds mission‑critical data analysis libraries, systems and pipelines that power launch vehicle production, Starlink telemetry and other core operations. The Senior Software Engineer will design and develop scalable data pipelines, create ML‑enabled applications, and collaborate on architecture and code reviews across the company.

Chevron seeks a Data Architect to design and own Enterprise Lakehouse architecture on Azure Databricks with Unity Catalog, evaluate Microsoft Fabric, and guide data engineering teams. Responsibilities include defining lakehouse patterns, ensuring governance, optimizing cost, and mentoring peers.

CarMax seeks a Principal Data Engineer focused on Data Governance and Data Quality. The role drives enterprise data quality frameworks, metadata management, and catalog tools across the organization.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers.

Vice President, Data Engineering, Master Data Management (MDM) & Reference Data at LPL Financial leads the Reference Data Master team within Data & Analytics. Drives strategy, design, delivery of scalable, secure party data solutions for onboarding, KYC/AML, regulatory reporting.

Data Engineering team at Humana builds synthetic member data to support testing, analytics, and system integration. The Data Engineer (Software Engineer 2) designs, generates, and validates high‑quality synthetic data using GenRocket, ensuring alignment with complex healthcare business rules and data models.

Data Platform team at Virtasant builds high‑performance data services for a leading healthcare technology client. The Senior Data Engineer will design and implement core automation tools, APIs, and integrations, improve pipeline reliability and observability, and partner with data engineering, analytics, and DevOps to enhance platform scalability.

Data Engineer, Big Data Platform at PNC Technology, building and evolving modern cloud‑native data solutions that enable enterprise analytics. The role monitors platform health, designs scalable lakehouse architectures, and partners with business stakeholders to translate analytical needs into technical solutions.

Customer Data Platform Data Engineer on the Customer Data Platform team, building scalable data pipelines and models within Adobe Experience Platform and Real-Time Customer Data Platform to enable analytics, personalization, and activation. Designs, develops, and optimizes SQL and Python data flows, collaborates with analytics, marketing, and engineering stakeholders, and ensures data quality and governance.

Priority Management Group seeks a Data Engineer with strong analytics to build and scale internal data infrastructure, design data collection, organization, and analysis across healthcare facilities, build pipelines, and provide actionable insights to leadership.

Cat Digital Data & AI team builds industry‑leading digital solutions using data, advanced analytics, telematics and AI. As a Data Engineer you will develop Python data pipelines, create CI/CD workflows, implement source‑to‑target mappings and ensure robust unit and integration testing. This role is based in Irving, Texas with an on‑site work model.

Information Technology group at DTCC delivers secure, reliable technology solutions for global capital markets. As Lead Data Engineer, you will design, develop, and evolve the enterprise data warehouse platform using Snowflake, SQL, and modern data engineering tools, building scalable pipelines and analytics solutions.

Data Governance Engineer – Data Quality & Operations (Advisor II) at Fiserv designs, implements, and runs enterprise data quality monitoring and governance for cyber datasets. Works with SOC, detection engineering, compliance, and cyber stakeholders to establish automated controls, workflows, and training that improve cyber risk insights and decision‑making.

Senior Data Architect on Ryan’s Data Engineering team, building scalable data pipelines and architecture to support enterprise analytics. Day‑to‑day responsibilities include designing data models, optimizing ETL processes, and collaborating with data scientists to ensure high‑quality data for insights.

Data Engineering team at Humana builds synthetic member data to support testing, analytics, and system integration. The role designs and generates high‑quality artificial data using GenRocket, manages EDI/X12 transactions, validates data integrity, and develops pipelines for integration into enterprise platforms.

Equinix, a global digital infrastructure company, seeks a Director of Data Engineering – Data Center Assets to lead strategy, design, and delivery of domain-oriented data products across data center operations. The role drives a unified, trusted data ecosystem, defining architecture, governance, and standards for cross-domain products linking Asset, Customer, and Product data.

Worldwide Grocery Store Tech (WWGST) and its DASH Team are an AI‑first data engineering hub building scalable data platforms for Amazon's grocery business. The Data Engineer designs and implements robust data infrastructures and advanced pipelines on AWS, collaborates with BI engineers and Data Scientists, and drives architecture decisions to enable analytics and machine learning.

U.S. Bank seeks a Data Engineer to build scalable data product patterns on Snowflake and Databricks, develop reusable frameworks, evaluate emerging tools, and partner with enablement teams to accelerate platform adoption across the enterprise.

Cat Digital, the digital arm of Caterpillar, builds industry‑leading data solutions for customers and dealers. The Data Engineer role develops Python pipelines, builds CICD workflows, and implements source‑to‑target mapping to support business data objects.