DataJobs.io

2026 Q3 · Quarterly Hiring Report

DataJobs.io Hiring Report — 2026 Q3

Built from 3,541 job listings posted on DataJobs.io in 2026 Q3 · Generated October 1, 2026

3,541
Postings published
+289.1% vs 2026 Q2
$147,718
Median salary (n=2203)
-2.7% QoQ
11.8%
Remote share
-4.8% QoQ
1,793
Companies hiring

DataJobs.io’s report for 2026-q3 tracks job postings published on the board during the quarter. In total, 3,541 postings were published across the period.

The quarter paired much heavier hiring volume with a softer remote share and a salary midpoint that stayed in the same broad band as the prior quarter.

Key findings

DataJobs.io published 3,541 job postings from 1,793 companies in 2026-q3.
Salary data was listed on 2,203 postings, with the median at $147,718, the lower quartile at $115,000, and the upper quartile at $186,850.
Work arrangement counts were led by 2,400 onsite postings, alongside 722 hybrid and 419 remote postings.
Full-time appeared on 3,294 postings that stated a job type, while contract appeared on 211, part-time on 26, internship on 9, and freelance on 1.
Capital One led publisher volume with 126 postings, ahead of Deloitte with 92 and Booz Allen Hamilton with 86.

Posting volume by month

Job postings per monthJul: 1177, Aug: 1165, Sep: 11991,177Jul1,165Aug1,199Sep

Salary distribution (yearly, USD, n=2203)

Salary distribution (yearly, USD)Histogram of 2203 disclosed salaries; p25 $115k, median $148k, p75 $187kp25$115kmedian$148kp75$187k
MinP25MedianP75Max
$32,500$115,000$147,718$186,850$525,000

Most in-demand skills

Most in-demand skillsData Analysis: 2385, Data Analytics: 2271, Data Processing: 1934, SQL: 1912, Artificial Intelligence: 1558, Data Platform: 1547, Data Pipeline: 1546, Reporting and Analytics: 1466Data Analysis2,385Data Analytics2,271Data Processing1,934SQL1,912Artificial Intelligence1,558Data Platform1,547Data Pipeline1,546Reporting and Analytics1,466

Work arrangement

Of 3,541 postings: 419 remote, 722 hybrid, 2,400 on-site (unclassified counted as on-site — see methodology).

Remote share by month (%)Jul: 15.1%, Aug: 17.9%, Sep: 2.7%JulAugSep2.7%

Top hiring companies

Top locations

Compared with 2026-q2, posting volume increased by 289.1%, rising from 910 to 3,541 published roles. Over the same comparison, the median advertised salary moved down from $151,800 to $147,718, a change of -2.7%, while the remote share fell from 16.6% to 11.8%. Within the quarter, monthly posting volume was fairly even at 1,177 in July, 1,165 in August, and 1,199 in September, but the remote share moved unevenly across those months: 15.1% in July, 17.9% in August, then 2.7% in September.

The salary distribution shows a broad middle of the market rather than a tight cluster: the lower quartile sat at $115,000, the median at $147,718, and the upper quartile at $186,850, with advertised salaries extending from $32,500 to $525,000 across the 2,203 postings that included pay. By work arrangement, onsite listings were the largest group, with hybrid also substantial and remote the smallest of the three. Among postings that stated a job type, full-time was by far the most common, with much smaller counts for contract, part-time, internship, and freelance. The tag mix also points to a market centered on analytics and data infrastructure skills, with Data Analysis, Data Analytics, Data Processing, and SQL all appearing frequently.

By employment type: Full Time 3,294 · Contract 211 · Part Time 26 · Internship 9 · Freelance 1.

How to cite this report

Free to quote and republish with attribution:

Source: DataJobs.io 2026 Q3 Hiring Report — https://datajobs.io/reports/hiring-report-2026-q3

Methodology

Figures are computed directly from job listings published on DataJobs.io during 2026 Q3. Posting counts reflect our aggregation coverage during the period, not total market volume; month-over-month changes can reflect coverage changes as well as market movement. Salary statistics use yearly USD ranges as stated by employers (midpoint of min–max), n=2203 listings with disclosed salary. Skill demand counts distinct listings per tag. Work-arrangement classes derive from listing text; unclassified listings count as on-site. This report may be cited with attribution and a link to this page.