Datacircle

Estimator email list: 19,961 US estimators, free to download

19,961 U.S. estimators in Datacircle's free 10M+ U.S. dataset have an email or a mobile phone: 13,350 with an email, 14,101 with a mobile, 7,490 with both. They work at companies of 11 to 500 employees, by the current job title on their LinkedIn profile, in our October 2026 release.

One download, free with a work email; the list is one query on it. Below, the estimators counted by state, industry and company size, with their titles as written. People are counted here, never named.

Download the estimator email list

Sign up with your work email: the 10M+ U.S. dataset is on your dashboard, one zip of two Parquet files. Unzip it into a folder named us_10m, then run this in Python (pip install duckdb). It writes the 19,961 estimators with an email or a mobile to a CSV, each with their company, its website, industry and size, and their LinkedIn URL:

import duckdb

duckdb.sql(r"""
  copy (
    select p.FULL_NAME, p.CURRENT_JOB_TITLE, c.NAME as COMPANY, c.URL as WEBSITE, c.LINKEDIN_INDUSTRY as INDUSTRY,
           c.EMPLOYEE_COUNT_RANGE as EMPLOYEES, p.EMAIL, p.MOBILE_PHONE, p.CITY, p.STATE_CODE, p.LINKEDIN_URL
    from 'us_10m/us_smb_mid_market_persons.parquet' p
    join 'us_10m/us_smb_mid_market_companies.parquet' c on c.LINKEDIN_ID = p.CURRENT_JOB_COMPANY_LINKEDIN_ID
    where regexp_matches(p.CURRENT_JOB_TITLE, '\bestimator\b', 'i')
      and not regexp_matches(p.CURRENT_JOB_TITLE, '\bassistant\b.*\b(to|for)\b|\bexecutive assistant\b', 'i')
      and (p.EMAIL is not null or p.MOBILE_PHONE is not null)
  ) to 'us_estimators.csv'
""")

The pattern takes a title as written on LinkedIn, in any letter case, and the second one leaves out the titles it shouldn't take. To cut it by state, add and p.STATE_CODE = 'CA'; by size, and c.EMPLOYEE_COUNT_RANGE = '51-200'. Every column of the file and its fill rate: the free US B2B leads dataset.

Their titles, as written on LinkedIn

The titles the most estimators of the list hold, word for word. Titles held by fewer than 10 people aren't shown.

The most common titles of the estimators with an email or a mobile, October 2026
TitlePeople
Estimator5,540
Project Estimator1,524
Senior Estimator1,348
Project Manager Estimator1,204
Estimator Project Manager1,053
Construction Estimator872
Chief Estimator503
Sales Estimator428
Lead Estimator332
Cost Estimator230

US estimators by state

By the state on their LinkedIn profile. California holds 11.3% of them, Texas 9.6%.

US estimators with an email or a mobile by state, October 2026
StateWith an email or a mobileShare
California2,25411.3%
Texas1,9179.6%
Florida1,2616.3%
Pennsylvania9844.9%
New York8334.2%
Michigan8074.0%
Ohio7863.9%
Illinois7053.5%
Colorado5862.9%
North Carolina5812.9%
Washington5782.9%
Georgia5342.7%
Minnesota5082.5%
Wisconsin5072.5%
Indiana4822.4%
Massachusetts4682.3%
Arizona4582.3%
Maryland4312.2%
Virginia4232.1%
Missouri3871.9%
Tennessee3691.8%
Utah3521.8%
Oregon3091.5%
New Jersey2731.4%
South Carolina2471.2%
Louisiana2451.2%
Alabama2291.1%
Kansas2251.1%
Nevada2131.1%
Iowa2101.1%
Kentucky1941.0%
Connecticut1840.9%
Oklahoma1630.8%
Nebraska1340.7%
Idaho1270.6%
New Hampshire1210.6%
Arkansas1030.5%
Mississippi940.5%
Maine900.5%
District of Columbia810.4%
South Dakota640.3%
New Mexico620.3%
Rhode Island580.3%
Hawaii540.3%
Delaware530.3%
West Virginia530.3%
Montana490.2%
North Dakota370.2%
Wyoming320.2%
Vermont260.1%
Alaska200.1%

US estimators by industry

By their company's industry on LinkedIn, the 10 largest. Construction comes first, with 64.3% of them.

US estimators with an email or a mobile by their company's industry, October 2026
IndustryWith an email or a mobile
Construction12,825
Wholesale Building Materials473
Printing Services452
Facilities Services354
Motor Vehicle Manufacturing320
Industrial Machinery Manufacturing308
Environmental Services225
Appliances, Electrical, and Electronics Manufacturing221
Machinery Manufacturing195
Consumer Services177

US estimators by company size

By the employee range on their company's LinkedIn page. The free file holds companies of 11 to 500 employees. The 50M+ dataset holds every size: 51,692 estimators, 21,374 with an email and 24,449 with a mobile. It unlocks once 3 people you invited sign up.

US estimators with an email or a mobile by company size, October 2026
EmployeesWith an email or a mobileShare
11-506,92034.7%
51-2008,74643.8%
201-5004,29521.5%

How recent the emails are

Each email in the file comes with EMAIL_VALIDATED_AT, the date it was last verified: 13,307 of the 13,350 emails of these estimators (99.7%) were last verified on or after August 1, 2026. A person's job as it is today, their title and company, is the LinkedIn profile behind their URL: the LinkedIn profile API, $1.25 per 1,000 through Up2Data.

Other job titles

Questions

How many estimators are in Datacircle's free file?

29,210 people in the free 10M+ US dataset (October 2026) have a current job title of estimator, by the title on their LinkedIn profile. 19,961 of them have an email or a mobile phone: 13,350 an email, 14,101 a mobile, 7,490 both.

Can I download an estimator email list for free?

Yes. Sign up at datacircle.dev with your work email and download the free 10M+ US dataset from your dashboard: one zip with the people and the companies they work at. The estimators are one query on it, printed on this page, which writes them to a CSV with their company, email, mobile phone and LinkedIn URL.

Which state has the most estimators?

California, with 2,254 of the 19,961 who have an email or a mobile (11.3%), then Texas (1,917) and Florida (1,261). The state is the one on their LinkedIn profile.

How recent are the emails?

Each email comes with EMAIL_VALIDATED_AT, the date it was last verified. 13,307 of the 13,350 emails of these estimators (99.7%) were last verified on or after August 1, 2026.

Does it cover companies of every size?

The free file holds people at companies of 11 to 500 employees. Every size is in the 50M+ US dataset: 51,692 estimators, 33,878 with an email or a mobile. It unlocks once 3 people you invited sign up.

Sign up at datacircle.dev with your work email: a $5 credit, that's 4,000 LinkedIn profiles at $1.25 per 1,000. Free: 10M+ U.S. B2B leads, as a flat file. Download it at datacircle.dev.

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