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Software Engineer – Graph​/Places Data

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Glint Tech Solutions
Full Time position
Listed on 2026-09-27
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

About the Role

We are seeking an experienced Software Engineer – Knowledge Graph / Places Data to join a fast-growing AI company building an innovative local commerce platform.

You will play a key role in developing large-scale knowledge graphs, integrating multi-source business data, and building the data infrastructure that powers local search, discovery, and matching.

Key Responsibilities
  • Design, build, and scale knowledge graph and POI (Point of Interest) data systems.
  • Develop entity resolution and entity linking solutions across multiple data sources.
  • Build data pipelines to integrate, clean, and maintain large-scale business and location data.
  • Design ontologies and schemas for real-world entities and their relationships.
  • Improve data quality, accuracy, and consistency across merchant and business listings.
  • Collaborate with engineering and AI teams to support search, discovery, and matching capabilities.
Required Qualifications
  • 4+ years of professional software engineering experience.
  • Hands‑on experience with Knowledge Graphs, POI / Places Data, or large‑scale entity data systems.
  • Strong experience in Entity Resolution, Entity Linking, or Multi‑source Data Fusion.
  • Experience designing ontologies, schemas, and scalable data architectures.
  • Solid understanding of data engineering, ETL pipelines, and large‑scale data processing.
  • Ability to design and operate scalable graph‑based systems.
Preferred Qualifications
  • Previous experience with mapping platforms, location intelligence, local search, or merchant data systems.
  • Experience with geospatial data processing.
  • Background in large‑scale knowledge graphs or business listing data‑quality systems.
  • Experience at major mapping, navigation, search, or local commerce technology companies is a plus.
Why Join?
  • Work on an innovative AI‑powered local commerce platform.
  • Build core knowledge graph infrastructure from the ground up.
  • Solve complex data engineering challenges involving real‑world entities and large‑scale datasets.
  • Collaborate with an experienced engineering team in a growing technology company.
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