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Contract Type: C2C
Posted: 1 day ago
Closed Date: 04/30/2025
Skills: Real estate APIs
Visa Type: Any Visa

API Expert / Data Architect (Real Estate expr is mandatory and must have this experience in recent project 

All Visa

Skype 

Remote 

Need LinkedIn 

 

Identify the Right Data Sources:

Research and evaluate real estate and business data APIs like ATTOM, Real-estate, IDI Core, Tracer, Batch Data, and others to determine which sources best meet platform needs for property, parcel, ownership, commercial, and company data.

Curate & Extract the Right Fields:

Decide which fields from each API are most relevant and cost-effective. Help avoid over-fetching while ensuring the data supports prospecting, segmentation, and outreach workflows.


Map, Normalize & Design the Model:

Define how multiple data sources will combine into a unified internal data model. Create clear mapping strategies, handle inconsistencies across sources, and ensure deduplication.


Test & Prototype:

Write lightweight code (Python, JavaScript, Postman, etc.) to validate API responses, test assumptions, and build simple internal PoCs that help the engineering team move faster.

 

Advise on Data Presentation:

Work with UX, product, and engineering teams to shape how data is surfaced in the platform—ensuring it’s both powerful and easy to use for end users in CRE roles.


Collaborate with Top Talent:

Work directly with the CEOclient, and a senior team of architects, engineers, and UX designers—many with deep experience in real estate platforms.

 

Ideal Experience 

  • Expert-level knowledge of real estate APIs, including property, parcel, commercial asset, ownership, and company data
  • Hands-on experience integrating or evaluating APIs like ATTOM, BatchData, IDI Core, RealEstateAPI, Tracer, Reonomy, etc.
  • Strong understanding of data modeling, entity resolution, and working with messy or fragmented data
  • Ability to write basic scripts or PoCs to test APIs and support engineering decision-making
  • Experience working across teams—engineering, product, and executive—on data-driven platform design