{"schemaVersion":"jobsearcher.job.v1","id":"9179f749be6d6f50c95d0ea2","url":"https://jobsearcher.com/jobs/9179f749be6d6f50c95d0ea2","canonicalUrl":"https://jobsearcher.com/jobs/9179f749be6d6f50c95d0ea2","title":"Backend / Integration Engineer","description":"Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\n\nAbout the Program:\n\nInnodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.\n\nAbout this Role:\n\nAs the Backend/Integration Engineer, you'll build the connective tissue of the platform. You'll develop the data services storefront's backend, stand up ingest pipelines, and implement reliable write-back into our data lakehouse so results flow cleanly across systems. Working alongside the Solution Architect, you'll make sure the platform's components integrate securely and perform under real workloads in a federal (IL4) environment. It's a strong fit for a backend engineer who likes owning integrations and turning architecture into working plumbing.\n\nKey Responsibilities:\n\nImplement Databricks REST API write-back for labeled outputs, DataCard provenance records, and synthetic content outputs\nBuild and validate the Duality back-end integration: catalog intake form configuration, parameter translation to Duality generation API, async job lifecycle management (submission, tracking, retry, completion), output handling\nImplement ServiceNow REST integration for white-glove routing intake path\nBuild and maintain storefront backend services (API layer between frontend UI and platform components)\nImplement DataCard write-back path in coordination with Solution Architect\nDesign and maintain async job queue management and retry logic across all integration surfaces\nStructure output metadata for DataCard provenance records per DoD distribution statement requirements\n\nMust-Have Qualifications:\n\nBachelor's degree in Computer Science, Software Engineering, or related field required. Equivalent experience may substitute for degree on a 2-for-1 basis.\n6+ years total professional experience, 4+ years backend or API integration engineering\nPython backend development — strong, production-grade\nREST API integration with async job lifecycle patterns (submission, polling, retry, webhook handling)\nDatabricks REST API or strong Spark/Databricks platform familiarity\nJSON schema design and structured metadata handling\nActive Secret clearance with TS/SCI eligibility\n\nNice-to-Have Qualifications:\n\nServiceNow REST API integration experience\nFederal program API integration background\nZenML or ML orchestration pipeline familiarity\nReact or modern frontend experience for storefront skeleton support\n\nThe expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications.\n\nNote to Candidates:\n\nThe Databricks write-back and Duality integration are the two highest-complexity tasks in Phase B. Candidates should be prepared to discuss async API integration patterns and their approach to retry logic and error handling in federal-data environments during the interview.\n\nPlease be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.\n\nIf you believe you've been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.","company":"Innodata","rawCompany":"innodata","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-19T17:37:29.226Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Backend / Integration Engineer","description":"Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\n\nAbout the Program:\n\nInnodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.\n\nAbout this Role:\n\nAs the Backend/Integration Engineer, you'll build the connective tissue of the platform. You'll develop the data services storefront's backend, stand up ingest pipelines, and implement reliable write-back into our data lakehouse so results flow cleanly across systems. Working alongside the Solution Architect, you'll make sure the platform's components integrate securely and perform under real workloads in a federal (IL4) environment. It's a strong fit for a backend engineer who likes owning integrations and turning architecture into working plumbing.\n\nKey Responsibilities:\n\nImplement Databricks REST API write-back for labeled outputs, DataCard provenance records, and synthetic content outputs\nBuild and validate the Duality back-end integration: catalog intake form configuration, parameter translation to Duality generation API, async job lifecycle management (submission, tracking, retry, completion), output handling\nImplement ServiceNow REST integration for white-glove routing intake path\nBuild and maintain storefront backend services (API layer between frontend UI and platform components)\nImplement DataCard write-back path in coordination with Solution Architect\nDesign and maintain async job queue management and retry logic across all integration surfaces\nStructure output metadata for DataCard provenance records per DoD distribution statement requirements\n\nMust-Have Qualifications:\n\nBachelor's degree in Computer Science, Software Engineering, or related field required. Equivalent experience may substitute for degree on a 2-for-1 basis.\n6+ years total professional experience, 4+ years backend or API integration engineering\nPython backend development — strong, production-grade\nREST API integration with async job lifecycle patterns (submission, polling, retry, webhook handling)\nDatabricks REST API or strong Spark/Databricks platform familiarity\nJSON schema design and structured metadata handling\nActive Secret clearance with TS/SCI eligibility\n\nNice-to-Have Qualifications:\n\nServiceNow REST API integration experience\nFederal program API integration background\nZenML or ML orchestration pipeline familiarity\nReact or modern frontend experience for storefront skeleton support\n\nThe expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications.\n\nNote to Candidates:\n\nThe Databricks write-back and Duality integration are the two highest-complexity tasks in Phase B. Candidates should be prepared to discuss async API integration patterns and their approach to retry logic and error handling in federal-data environments during the interview.\n\nPlease be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.\n\nIf you believe you've been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.","datePosted":"2026-08-19T17:37:29.226Z","dateModified":"2026-08-19T17:37:29.226Z","hiringOrganization":{"@type":"Organization","name":"Innodata","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9179f749be6d6f50c95d0ea2"},"url":"https://jobsearcher.com/jobs/9179f749be6d6f50c95d0ea2"}}