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Datamata Studios
Live data — updated DailyFree to reference and cite

Tech & Data Jobs Market Report 2026

Skills employers are actually hiring for, salary ranges from disclosed postings and demand trends across data, engineering, AI, DevOps, product and security — drawn from 22,160 active job listings across 5,018 companies.

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Active listings indexed

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Companies tracked

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Role categories

Daily

Updated

Quick answer

This report covers 22,160 active tech and data job listings across 5,018 companies, with skill demand and salary ranges refreshed daily.

Source: Datamata Studios — methodology and update cadence.

Key findings

What the data shows right now

Research Scientist is the highest-paying role tracked — a median of $150,005 across 111 listings with disclosed pay.

Azure demand is rising fastest — up 0.8 points in DevOps over the prior 7 days.

Python is the most-requested skill in Engineering, appearing in 16% of active Engineering listings.

Among Research Scientist listings, those mentioning AWS show the highest median pay at $245,564.

Market coverage

Active listing volume by category

Live count of active postings in each tracked category. Tap any bar for week-over-week skill trends.

Fastest-moving skills

7-day demand movers by category

Engineering

  • React+0.6 pts
  • SQL+0.2 pts

Data

  • SQL+0.7 pts
  • Python+0.5 pts
  • Stakeholder Mgmt+0.1 pts
  • ETL+0.4 pts

DevOps

  • Azure+0.8 pts

Percentage-point change in demand share over the prior 7-day window. See live skill trends for the full table.

Compensation

Salary ranges from employer-disclosed postings

Median with 25th–75th percentile range, computed from the midpoint of disclosed salary_min and salary_max. Only roles with at least 30 disclosed-salary listings are shown. See the salary intelligence hub for category breakdowns and skill premiums.

25th–75th percentile rangeMedian

Salary percentiles by role, from listings with disclosed pay
Role25th percentileMedian75th percentileListings with disclosed pay
Research Scientist$90,760$150,005$208,445111
Full Stack Developer$94,017$146,333$186,6224,329
Product Manager$76,907$145,600$200,724669
Product Designer$85,000$142,296$185,512122
Frontend Engineer$84,448$135,200$182,863232
Infrastructure Engineer$62,500$131,808$203,115185
ML Engineer$97,761$130,337$180,132793
Cloud Architect$106,860$129,958$163,815196
AI Engineer$97,680$129,742$171,741721
Systems Engineer$80,392$125,000$165,000331
Data Architect$85,000$124,631$167,733166
Data Scientist$80,871$122,834$161,885831
Backend Engineer$82,012$122,489$170,935305
SOC Analyst$87,017$121,690$141,98773
MLOps Engineer$85,412$120,567$155,71496
Mobile Developer$80,000$117,748$157,82380
Site Reliability Engineer$80,000$113,071$171,200205
Platform Engineer$75,693$110,256$157,612320
Data Engineer$70,160$110,144$151,0281,322
BI Engineer$77,154$109,313$131,58042
Security Engineer$63,998$108,225$155,597636
Analytics Engineer$70,000$100,081$145,00096
DevOps Engineer$69,893$100,001$140,955863
QA Engineer$65,000$95,420$135,160230
Security Architect$73,000$90,581$172,75057
Data Governance$55,000$89,856$133,01359
Data Analyst$52,942$76,943$108,3651,090

Figures reflect current active listings with disclosed pay and update on each refresh. Per-skill premiums and percentile detail are in the salary hub.

Methodology & citation

All data is derived from active job postings scraped and normalized by Datamata Studios. Skill demand is measured as the share of active listings in a category that mention a given skill. Salary figures use the midpoint of employer-disclosed salary_min and salary_max fields — self-reported surveys are not used. Data is refreshed daily. Full methodology is documented at datamatastudios.com/methodology.

To cite this report

Datamata Studios. (2026). Tech & Data Jobs Market Report 2026. Retrieved from https://www.datamatastudios.com/data-jobs-report

Live skill rankings

Week-over-week demand across all categories

Salary intelligence

Category breakdowns with skill premiums

Career guides

How to break into data and AI roles

Hiring companies

Which companies are actively scaling