Integration Engineer (Government Systems)

Clear Fracture LLC•Vienna, VA

17h•$170,000 - $220,000•Hybrid

About The Position

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.

Requirements

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.
Strong programming experience using Python and SQL.
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.
Strong troubleshooting and analytical skills.
Excellent written and verbal communication skills.
Ability to explain technical concepts to both technical and non-technical audiences.
Comfortable working across Engineering, Product, Customer Success, and customer organizations.
Self-motivated with a “let’s figure it out” mindset.
U.S. Citizenship is required.

Nice To Haves

Experience with Java or JavaScript.
Understanding of modern AI technologies including foundation models, retrieval augmented generation (RAG), embeddings, and agentic workflows is highly desirable.
Familiarity with LangGraph, LangChain, or similar orchestration frameworks is a plus.
Active TS/SCI security clearance.
Experience supporting defense or intelligence community customers.
Experience deploying software into classified or air-gapped environments.
Experience implementing enterprise AI or data integration platforms.
Experience working with CI/CD pipelines, Infrastructure as Code, and DevSecOps practices.
Experience with distributed data processing platforms and large-scale enterprise environments.

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.