Integration Engineer

Role overview

Design, deliver, and support secure connections between a federal data platform, other analytics environments, on-premises systems, cloud services, and external partners. This hands-on engineering role applies established architecture and interoperability patterns, working with architecture, security, cloud, network, and delivery teams to make integrations supportable in production. The position is contingent on contract award.

Responsibilities - Design and document integrations across cloud, hybrid, on-premises, third-party, and government platform environments. - Develop interface specifications and implementations for APIs, data exchange, routing, network boundaries, identity federation, authorization, and trust. - Apply approved security and architecture standards; maintain network and connection diagrams and flag exceptions for governance review. - Support governed data sharing through federated access, metadata and catalog synchronization, lineage, and consistent access policies. - Work with cloud, network, security, DevSecOps, and application teams to test, monitor, troubleshoot, and restore integrations. - Assess design options for resilience, performance, cost, maintainability, and operational risk; provide technical guidance and peer review.

Requirements - Bachelor’s degree and at least 12 years of relevant experience, or a master’s degree and at least 10 years. - Hands-on experience designing, implementing, and supporting enterprise integrations across multiple systems and cloud or hybrid environments. - Strong knowledge of APIs, web services, data exchange, networking, routing, authentication, authorization, and secure system communication. - Cloud integration experience with at least one major platform, including networking, identity, data services, and hybrid connectivity. - Understanding of enterprise data platforms, metadata, lineage, access controls, and federated data access. - Ability to produce technical specifications, data-flow and network diagrams, runbooks, and decision records; ability to obtain and maintain government Public Trust suitability.

Nice to have

Direct experience with the relevant government data platform and its interfaces and security boundaries is highly preferred. Azure Data Factory, Data Lake Storage, Databricks, data governance tools, federal cloud and security standards, API management, infrastructure as code, CI/CD, automated testing, and relevant cloud or security certifications are advantageous.

Benefits and work setup

Remote work within the continental United States is available subject to government approval and access requirements. Eastern Time collaboration, program travel, and occasional after-hours or weekend support for critical incidents or planned maintenance may be required. Candidates near the Washington, DC area are preferred.