Integration Engineer (Government Systems)

Mission

Deliver AI-Powered Data Integration

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.

Technical Expertise

• Strong programming experience using Python and SQL.
• Experience with Java or JavaScript is a plus.
• 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 LangGraph, LangChain, or similar orchestration frameworks is a plus.

Problem Solving & Communication

• 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.

Qualifications

• 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.
• U.S. Citizenship is required due to the nature of the work.
• Active TS/SCI security clearance preferred.
• 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.