Python Data Engineer / ETL Developer for Real Estate Intelligence Platform

We are building a real estate intelligence platform focused on New York City property data, property owners, CRM history, contacts, public records, lead scoring, and opportunity detection.

This is not a simple Excel cleanup job.
We need a serious Python Data Engineer / ETL Developer who can help us turn large real estate datasets into a clean, structured database that will power our internal software platform.

What We Are Building
We are building something between FreedomSoft, PropertyShark, GoHighLevel, and CREXi.
The system will organize:
Property profiles
Owner / company profiles
Phone and email contact points
CRM notes and follow-up history
Public record data
Source trace
Relationship mapping
Lead scoring
Opportunity queues
Future AI and automation

Responsibilities
Work with large CSV / Excel files
Clean and normalize real estate data
Build Python ETL pipelines
Import data into PostgreSQL
Create relationships between properties, owners, companies, contacts, and CRM activity
Build deduplication and merge logic
Build source trace logic
Build data quality reports
Help prepare data for dashboard, APIs, and future public records integrations
Work closely with our technical lead

Required Skills
Python
Pandas
PostgreSQL
CSV / Excel processing
ETL pipelines
Data cleaning
REST API experience
Strong attention to detail
Ability to work with large datasets
Bonus Skills
Real estate data experience
NYC property data experience
NYC Open Data / Socrata API
ACRIS
DOB permits / violations
PLUTO / MapPLUTO
Address normalization
Entity resolution / deduplication

Ideal Candidate
You are detail-oriented, reliable, and able to think through messy data carefully.
You do not just write scripts. You understand that clean data needs to support a real business system.


How to Apply

Please send:
Your experience with Python and data engineering
Examples of similar data projects
Your PostgreSQL experience
Your experience with real estate or public data, if any
Your hourly rate or monthly salary expectation
Your availability
Your preferred working hours
Your WhatsApp / email / contact info
A short explanation of how you would approach this project

We are looking for a long-term tea ---------- mber, not a one-time freelancer.