Data / GIS Specialist – Build NJ Solar Homeowner Dataset (Satellite + Automation)

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: TYPE OF WORK

Any

: SALARY

$1000/month

: HOURS PER WEEK

40

: DATE UPDATED

Mar 16, 2026

JOB OVERVIEW

**Only applications submitted with audio or video résumé will be considered **

Please answer the following questions in your submittal.

1. What technical approach you would use to identify homes with solar installed.
2. Any tools or software you would use (Python, GIS, APIs, etc.).
3. Your estimated timeline to produce 10,000 addresses.

Job Overview
We are a U.S.-based solar company looking for a data-savvy researcher or developer who can build a targeted dataset of residential properties in New Jersey that have rooftop solar installed.

This project will require using satellite imagery, mapping tools, automation, and/or existing datasets to identify properties with solar panels and compile a clean, verified address list.

We are specifically looking for someone who understands how to combine imagery analysis, parcel data, and automation to generate large datasets efficiently.

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Project Goal

Create a dataset of 10,000–50,000+ residential properties in New Jersey that have rooftop solar systems.

The final dataset should include:

• Property Address
• City
• State
• ZIP Code
• Phone
• Latitude / Longitude (if available)
• Confirmation method (imagery detection, permit data, etc.)

Bonus data (if available):

• Homeowner name
• Year solar was installed
• Property characteristics

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Preferred Technical Approach

You may use any combination of the following methods:

• Satellite imagery analysis (Google Maps, Bing, Mapbox, etc.)
• AI / computer vision models to detect rooftop solar panels
• GIS tools (QGIS, ArcGIS, etc.)
• Parcel boundary datasets to convert coordinates into addresses
• Automation or scripting (Python preferred)
• Public solar permit or incentive datasets
• Property data providers

We are not looking for purely manual research unless it is combined with automation or structured grid-based mapping workflows.

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Expected Workflow (Example)

Typical workflows may include:
1. Identify rooftops with solar panels using satellite imagery or AI detection.
2. Extract coordinates of those properties.
3. Match coordinates with parcel boundary datasets to retrieve addresses.
4. Compile results into a structured spreadsheet.

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Required Skills

• Experience with data scraping or extraction
• Familiarity with satellite imagery or mapping platforms
• Ability to work with large datasets
• Strong problem-solving skills

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Strongly Preferred

• Python scripting
• GIS tools (QGIS / ArcGIS)
• Experience with mapping APIs (Google Maps API, Mapbox, etc.)
• Computer vision / image detection
• Real estate or parcel datasets

?

Deliverables

A clean spreadsheet or database containing verified NJ properties with solar panels.

SKILL REQUIREMENT

Python GIS Web Scraping

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Data / GIS Specialist – Build NJ Solar Homeowner Dataset (Satellite + Automation)

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

SALARY

HOURS PER WEEK

DATE UPDATED

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