Data Engineer Jobs in Texas, United States

Physical AI Platform team at Caterpillar builds the intelligence layer that connects machines, data, and people to enable autonomous construction sites. The Senior Data Engineer designs, builds, and maintains scalable data pipelines and cloud-native ingestion services using Python and AWS, ensuring high‑quality data for AI models and edge computing.

Physical AI Platform, Data Engineering team at Caterpillar builds the intelligence layer that connects machines, data, and people to enable autonomous construction sites. The Lead Data Engineer designs, builds, and maintains scalable data pipelines, microservices, and cloud‑native ingestion solutions on AWS, driving data architecture and quality for AI model development.

Lead Software Engineer within JPMorgan Chase's Corporate Technology - Data protection and Recovery product line in Houston, TX. As a core technical contributor on an agile team, you design and build secure, scalable data platform solutions, develop production code, and drive AI-assisted engineering practices. Day-to-day work includes orchestrating data pipelines, evaluating vendor architectures, generating data models, and improving operational stability and reporting workflows.

Data Engineering - Lakehouse and AI Data Platform team at Goldman Sachs builds the modern data foundation that powers firm‑wide analytics and AI use cases. The engineer designs, builds, tests and supports batch and streaming pipelines, creates curated datasets, and ensures data quality and reliability across the platform.

Technology Consulting - Data & Analytics (Data Architecture & Engineering) – Financial Services Office at EY helps financial services clients transform data supply chains by architecting modern data platforms, products, and marketplaces. The Data Analyst designs and implements data architectures, builds ingestion pipelines, and advises on cloud data modernization while leading and coaching cross‑functional teams.

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.

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.

Lead Data Engineer – Snowflake & Data Platforms at Depository Trust Company (DTCC) drives the design, development, and evolution of the enterprise data warehouse platform supporting IT, Cyber Security, and Business Operations analytics. Day-to-day work includes building and optimizing scalable Snowflake-based data pipelines, applying data warehousing best practices, mentoring engineers, and providing technical leadership across the full software development lifecycle.

Data Lakehouse and AI Data Platform team at Goldman Sachs builds the modern data foundations that enable firm-wide AI and analytics capabilities. Engineers design, build, test and support large‑scale batch and streaming pipelines, curate datasets, and improve platform tooling to ensure reliable, high‑performing data products.

The Staff Data Engineer, Data Products at The Hershey Company designs, builds, and operates enterprise-grade data products that power analytics, reporting, and AI across Hershey’s business domains. Day-to-day, you will develop scalable, governed, and reusable cloud-native data solutions—transforming business requirements into modern data pipelines, semantic models, and ingestion frameworks while partnering with Data Product Managers, Architects, Domain SMEs, and Platform Engineering teams.

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.

Lead Software Engineer - Data and Payments Data Platform at JPMorgan Chase, within the Commercial and Investment Banking - Data Analytics Payment team in Austin, TX. As a core technical contributor on an agile team, you design, build, and deliver trusted, scalable data and payments technology products. Day-to-day work includes engineering scalable data pipelines and ETL/ELT workflows, developing data platform components with governance and lineage, applying data modeling strategies, and driving

General Motors seeks a Senior Data Engineer to build reliable data platforms and leverage Agentic AI for intelligent data experiences. The role involves designing scalable pipelines in Azure Databricks, automating workflows with LLMs, and partnering with ML teams to productionize AI solutions.

OTS Data ANCHOR team builds strategic data infrastructure powering Amazon's Operations Technology ecosystem. The Data Engineer designs, builds, and maintains scalable ETL/ELT pipelines and AI/ML‑ready data assets that enable real‑time operational insights and GenAI analytics across fulfillment centers.

OTS Data ANCHOR team builds strategic analytics powering Amazon's Operations Technology ecosystem, delivering critical data infrastructure for OpsTech IT. The Data Engineering Manager leads a core team to design, implement, and scale ETL pipelines, semantic layers, and AI/ML-driven analytics, while mentoring engineers and ensuring data governance. Austin, TX, on-site.

Commercial and Investment Banking - Data Analytics Payment team at JPMorgan Chase builds market‑leading data and payments platforms. As a Lead Software Engineer you design, develop, and maintain scalable data pipelines and platform components using Spark, Airflow, Kafka, and Flink, and lead technical evaluations and community of practice initiatives.

Data Platform Management (DPM) team within Amazon Grocery Management Tech builds and operates data and reporting solutions for the worldwide grocery business. The Data Engineer leads data integration, modeling, and pipeline development, supports on‑call rotation, and mentors peers to modernize data infrastructure and deliver reliable analytics.

The AWS Specialist Technology Team (STT) Centralized Data & Analytics team is hiring a Senior Data Engineer to build a data platform from the ground up in Austin, TX. You will design and operate scalable ETL/ELT pipelines, data models, and governance frameworks that connect product telemetry, usage metrics, and business outcomes into a unified data ecosystem. The role focuses on engineering the data backbone that powers agentic analytics and AI/ML pipelines, while dedicated BI engineers own repo

General Motors seeks a Staff Data Engineer to build next-generation telematics data products that power enterprise analytics and AI. This role focuses on designing reusable, trusted datasets and semantic models from connected vehicle telemetry to support decision-making across engineering and operations. The position is hybrid, requiring presence at the Warren, Michigan or Austin, Texas technical centers.

Verizon seeks a Principal Engineer Data Engineering to design, build, and optimize enterprise data architecture that drives strategic insights and high-impact business decisions. Day-to-day, you will lead end-to-end ETL/ELT pipeline development, manage cloud-based data warehouses, and integrate DevOps and automated workflows into the data ecosystem.