✦ Luna Orbit — Data & Analytics

Backend Engineer, Growth and Data

at Hebbia

📍 New York City; San Francisco, CA Onsite Posted March 08, 2026
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Position Details

Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

About this role

Hebbia is looking for a backend engineer to develop systems for sourcing, indexing, and enriching data from various sources, enabling powerful retrieval and research capabilities.

Key Responsibilities

  • Source and index data
  • Enrich content
  • Build platform integrations
  • Develop APIs
  • Support retrieval workflows

Technical Overview

The role involves building data pipelines, integrating with platforms like Snowflake and S3, and supporting retrieval-augmented AI research workflows.

Ideal Candidate

The ideal candidate is a mid-level data engineer or analyst experienced in sourcing, indexing, and enriching large datasets, with strong skills in platform integrations and API development.

Must-Have Skills

Data sourcingData indexingContent enrichmentPlatform integrationsAPIs

Nice-to-Have Skills

Data retrievalKnowledge managementThird-party platform integrations

Tools & Platforms

SnowflakeS3SharePointDropbox

Required Skills

Data sourcingData indexingContent enrichmentPlatform integrationsAPIsData retrievalKnowledge management

Hard Skills

Data sourcingData indexingContent enrichmentPlatform integrationsAPIsData retrievalKnowledge universePrivate enterprise dataPublic dataThird-party platformsSnowflakeS3SharePointDropbox

Soft Skills

CollaborationProblem-solvingStrategic thinkingProactive approach

Industry & Role

Industry Fintech
Job Function Developing backend systems for data sourcing, indexing, and enrichment

Keywords for Your Resume

Data sourcingData indexingContent enrichmentPlatform integrationsAPIsData retrievalKnowledge universePrivate enterprise dataPublic dataThird-party platformsSnowflakeS3SharePointDropboxRetrieval-augmented deep researchKnowledge management

Deal Breakers

Lack of experience with data sourcing or platform integrations, No familiarity with Snowflake, S3, or SharePoint, Inability to work in New York City or San Francisco

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