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# Data Engineer III

- **Company:** Deloitte T.T.L.
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Salary:** $113,300.0 - $188,900.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Component-Based Software Engineering, Application Integration Architecture, Microsoft Azure, Databases, Data Visualization, Software Design Patterns, Web Development, Distributed Computing Environment, Global Positioning Systems (GPS), Apache Hive, Release Management, TypeScript, Highcharts, Enterprise Data Management, Google Cloud, Enterprise Software Applications, ReactJS, Palantir Foundry, Sap Business Objects, Git, Pyspark, Graphql, Restful APIs, Data Pipelines, Microservices
- **Published:** October 15, 2026
- **Apply:** https://apply.deloitte.com/en_US/careers/Login?jobId=371560

## About the Role

* Ability to work independently and collaborate as part of a team
 * Effective written and verbal communication skills
 * Meticulous attention to detail and quality of work product
 * Ability to build and sustain professional relationships
 * Ability to lead projects or workstreams
 * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
 * Strong interpersonal skills and professional demeanor
 * Ability to meet deadlines
 * Ability to provide clear guidance to others, Required:
 * Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or related field.
 * 5+ years of experience in software engineering, data engineering, or analytics engineering.
 * Experience using Palantir Foundry, including Pipeline Builder, Code Repositories, Workshop, Ontology Management, Actions, and Operational Workflows.
 * Experience developing extract, transform, load (ETL) and extract, load, transform (ELT) pipelines and data integration solutions using Python and Structured Query Language (SQL).
 * Experience developing web applications using React and TypeScript or JavaScript with component-based design patterns.
 * Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
 * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

 * Experience using Git, continuous integration and continuous delivery (CI/CD) pipelines, testing frameworks, and Agile delivery methodologies.
 * Experience with Azure, Amazon Web Services (AWS), or Google Cloud.
 * Experience with PySpark, Spark SQL, or distributed data processing frameworks.
 * Experience integrating applications using representational state transfer (REST) application programming interfaces (APIs), GraphQL, or microservices architectures.
 * Experience with data visualization libraries, including Recharts, D3, or Chart.js.

## Description

Join Deloitte's AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact., As a Data Engineer III on the AI & Data team, you will be responsible for designing and delivering data products and applications that support client operations and decision-making.

 * Design, develop, and maintain scalable data pipelines in Palantir Foundry to ingest, transform, validate, and publish enterprise data.
 * Develop data models, ontologies, and business objects; implement automated data quality monitoring, validation rules, and error-handling mechanisms.
 * Build and maintain React-based applications, dashboards, forms, workflows, and data visualizations integrated with Foundry data assets, services, and application programming interfaces (APIs).
 * Configure integrations with cloud platforms, databases, APIs, and enterprise systems; optimize pipeline transformations for reliability and scalability.
 * Partner with product owners, analysts, data scientists, UX designers, and business stakeholders through solution design, testing, deployment, documentation, release management, and production support while maintaining security, governance, and compliance standards.