Forward Deployed Data Engineer

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.    Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.    Join us to drive positive, lasting change that moves missions and the government forward!  

Day-to-Day Responsibilities:

• Collaborative Teamwork: Partner with engineers, program managers, and domain specialists to conceive, architect, build, and maintain applications that meet AFS clients’ needs.
• Data Synthesis: Understand a client’s most critical objectives and synthesize disparate information into a cohesive vision and actionable roadmap, interpreting what the data signifies and outlining an impact-based plan to rapidly go from use case to prototype to scaled deployment.
• Rapid Iteration: Quickly iterate, build from scratch, and help transform clients' operations at uncommon speed. You won’t just deploy software—you’ll help reshape how entire organizations work by putting powerful tools in the hands of executives and real operators.
• Production-Grade Solutions: Develop production-grade solutions that make sense of the client’s data and process it through an actionable workflow that can help clients make better decisions.
• Collaboration: Collaborate with technical and non-technical colleagues to define solution requirements, iterate on the solution, and ship code.

Key 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.