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# Forward Deployed Data Engineer - Databricks

- **Company:** Accenture
- **Location:** Arlington, VA, United States
- **Salary:** $100,200.0 - $243,100.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Services, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, Data Governance, Software Debugging, Software Deployment, Google Cloud, Cloud Platform System, Large Language Models, Apache Spark, Build Management, Data Pipelines, Databricks
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cf2625e10533f211

## About the Role

* US Citizenship required
 * Full-stack engineering with Databricks platforms
 * Experience delivering customer-facing technical solutions
 * Proven track record delivering production-grade systems end-to-end
 * Experience building scalable data pipelines, APIs, and user-facing applications
 * Hands-on integration of LLMs and AI APIs (OpenAI, Anthropic, Gemini) into applications
 * Familiar with AI-assisted development tools and modern AI frameworks
 * Experience with cloud platforms (AWS, Azure, or GCP)
 * Familiar with CI/CD pipelines and production deployment workflows
 * Databricks Data Engineer Professional certification
 * Ability to travel, dependent on client and team

Preferred experience:

 * Active Government Security clearance
 * Experience with Databricks on both E2 and PVC

## Description

* Deliver end-to-end, production-grade data and AI solutions on Databricks platforms.
 * Design and build scalable data pipelines, APIs, and user-facing applications using Spark and modern big-data engines.
 * Design and build Databricks Apps, including both front-end and back-end components.
 * Integrate LLMs and AI APIs (OpenAI, Anthropic, Gemini) into applications and data workflows.
 * Deploy solutions to cloud environments (AWS, Azure, GCP) and monitor production systems for performance, reliability, and cost efficiency.
 * Debug complex issues across the full stack, including data pipelines, application services, cloud infrastructure, and AI integrations.
 * Implement CI/CD workflows, automated testing, and secure, repeatable production deployments.
 * Ensure data governance, quality, and security through best practices and tools like Unity Catalog.
 * Partner directly with customer stakeholders to define requirements, architect solutions, and provide hands-on technical guidance.
 * Produce clear documentation, runbooks, and technical enablement materials for long-term maintainability.


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