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Integration Engineer; Government Systems

Job in Vienna, Fairfax County, Virginia, 22184, USA
Listing for: Clear Fracture LLC
Full Time position
Listed on 2026-07-10
Job specializations:
  • Software Development
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 170000 - 220000 USD Yearly USD 170000.00 220000.00 YEAR
Job Description & How to Apply Below
Position: Integration Engineer (Government Systems)

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Clear Fracture LLC, Vienna, VA, US

7 days ago Requisition

Salary Range: $ To $ Annually

Are you passionate about solving complex technical challenges and deploying cutting-edge AI solutions into mission-critical environments?

Clear Fracture is revolutionizing data integration with AI-driven technology that enables organizations to rapidly build, migrate, and orchestrate data pipelines using intelligent agents. Our flagship platform, Belvedere, transforms the way government agencies integrate and operationalize data across diverse systems.

We’re looking for a highly technical Integration Engineer to join our growing team. In this role, you’ll work directly with government customers to deploy, configure, and integrate Belvedere into secure enterprise environments. You’ll collaborate closely with customers, engineering, and product teams to ensure successful implementations while helping shape the future of our platform.

This position includes periodic work within customer government facilities and classified environments to support deployments, integration efforts, and mission success.

Your Mission:
Deliver AI-Powered Data Integration

As an Integration Engineer, you’ll be responsible for deploying and integrating Belvedere into customer environments, solving complex technical challenges, and ensuring customers successfully leverage our agentic AI platform to modernize their data infrastructure.

Key Responsibilities
  • Lead deployment and integration of Belvedere into customer environments, including government and classified networks.
  • Work directly with customer technical teams to understand existing architectures, data pipelines, security requirements, and operational workflows.
  • Configure, customize, and integrate Belvedere with enterprise data platforms, cloud environments, databases, APIs, and existing applications.
  • Develop prototypes, connectors, automation, and integration components that demonstrate and deliver customer value.
  • Collaborate closely with Product and Engineering to troubleshoot issues, provide implementation feedback, and influence future product capabilities.
  • Design and implement scalable data integration solutions leveraging modern ETL/ELT architectures and AI-assisted workflows.
  • Support customer onboarding, technical training, and knowledge transfer.
  • Troubleshoot complex deployment and integration issues across cloud, hybrid, and on-premise environments.
  • Document solution architectures, implementation guides, deployment procedures, and best practices.
  • Stay current with emerging technologies in AI, agentic systems, cloud platforms, and enterprise data integration.
  • Occasionally support pre-sales activities by participating in technical demonstrations, proof-of-concepts, and customer architecture discussions alongside the sales team.
What You Bring Experience
  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or related field.
  • Experience deploying, integrating, or implementing enterprise software solutions.
  • Experience working directly with government or enterprise customers.
  • Comfortable working independently in customer environments.
Technical Expertise
  • Experience integrating enterprise software using REST APIs, SDKs, messaging platforms, and databases.
  • Understanding of ETL/ELT processes, data modeling, data warehousing, and modern data architectures.
  • Experience with cloud platforms including AWS, Azure, Oracle Cloud Infrastructure, or Google Cloud.
  • Familiarity with enterprise data platforms such as Databricks, Oracle, Snowflake, Informatica, or similar technologies.
  • Experience with Docker, Kubernetes, and containerized deployments.
  • Familiarity with PostgreSQL, SparkSQL, Trino, Elasticsearch, vector databases, or graph databases.
  • Understanding of modern AI technologies including foundation models, retrieval augmented generation (RAG), embeddings, and agentic workflows is highly desirable.
  • Familiarity with Lang Graph, Lang Chain, or similar orchestration frameworks is a plus.
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