Backend / Integration Engineer
Innodata Inc.3 months ago
Responsibilities
- Implement Databricks REST API write-back for labeled outputs, DataCard provenance records, and synthetic content outputs.
- Build and validate Duality backend integration, including catalog intake configuration, parameter translation, asynchronous job lifecycle management, retries, and output handling.
- Implement ServiceNow REST integration for the white-glove routing intake path.
- Build and maintain storefront backend services connecting the frontend UI with platform components.
- Implement DataCard write-back in coordination with the Solution Architect.
- Design and maintain asynchronous job queues and retry logic across integration surfaces.
- Structure output metadata for DataCard provenance records according to DoD distribution statement requirements.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, with equivalent experience eligible to substitute on a 2-for-1 basis.
- 6+ years of total professional experience, including 4+ years of backend or API integration engineering.
- Strong production-grade Python backend development experience.
- Experience integrating REST APIs using asynchronous submission, polling, retry, and webhook patterns.
- Databricks REST API experience or strong familiarity with Spark or the Databricks platform.
- Experience with JSON schema design and structured metadata handling.
- Active Secret clearance with TS/SCI eligibility.
- ServiceNow REST API integration experience is preferred.
- Federal program API integration experience is preferred.
- ZenML or machine-learning orchestration pipeline familiarity is preferred.
- React or modern frontend experience for storefront support is preferred.
Benefits
- 20-week intensive program phase focused on delivering a secure federal IL4 data services platform.
- Expected hourly salary range is $75 to $80 per hour, based on experience, skills, and qualifications.
Tech Stack
Categories
About Innodata Inc.
Innodata Inc. builds data engineering and annotation services and platforms that supply training data, evaluation, and pipelines for enterprises and technology companies building AI models, including generative and robotics applications. Its business model centers on B2B services, managed data operations, and tools for data collection, cleansing, and labeling across text, image, video, and sensor data. Founded in 1988 and headquartered in Ridgefield Park, New Jersey, it is a public company trading on NASDAQ (INOD).