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Innodata's Federal Practice seeks a Backend/Integration Engineer to build the data services storefront backend, stand up ingest pipelines, and enable reliable write-back into the data lakehouse in a secure IL4 environment. You will collaborate with the Solution Architect to ensure architecture translates into scalable plumbing across systems.
Owned integrations and async job lifecycle management will be key as you deliver secure, high-volume data services for federal workloads, with attention to
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.
Innodata'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.
As 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.
The expected hourly salary range for this position is $75 to $80 per hour, based on experience, skills, and qualifications.
The 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.
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