Backend Data Integration Engineer (Databricks/REST)

Innodata

Fairfax (VA)

On-site

USD 103,320 - 110,208

Full time

14 days+

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Job summary

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

Qualifications

  • Bachelor’s degree required or equivalent experience in CS/SE.
  • 6+ years total experience, 4+ years backend or API integration engineering.
  • REST API integration with async job lifecycles (submission, polling, retry, webhook handling).
  • Databricks REST API or Spark/Databricks familiarity; JSON and metadata handling.

Responsibilities

  • Implement Databricks REST API write-back for outputs and provenance records.
  • Build and manage backend integration for the DataCard storefront and ingestion pipelines.
  • Implement ServiceNow REST integration for intake routing.
  • Develop API layer between frontend and platform components; ensure secure, scalable integration.
  • Design async job queue management and retry logic across surfaces.

Skills

Backend API development
REST API integration
Databricks REST API
Spark/Databricks familiarity
JSON schema design
TS/SCI eligibility clearance

Education

Bachelor's degree in Computer Science or related field

Tools

ServiceNow REST API

Job description

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

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