Forward Deployed Data Engineer - Databricks

Accenture Federal Services•Washington, DC

4d•$100,200 - $243,100•Hybrid

About The Position

At Accenture Federal Services, our mission is to strengthen and safeguard the nation and improve lives through technology and ingenuity. We are seeking a Forward Deployed Data Engineer with expertise in Databricks platforms to join our team. This role involves delivering end-to-end, production-grade data and AI solutions, designing and building scalable data pipelines, APIs, and user-facing applications. You will integrate LLMs and AI APIs, deploy solutions to cloud environments, and ensure data governance, quality, and security. This position requires direct collaboration with customer stakeholders to define requirements, architect solutions, and provide technical guidance, along with producing clear documentation and enablement materials.

Requirements

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

Nice To Haves

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

Responsibilities

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.