Skip to content
IT skill · Tool· Data & Analytics

PySpark freelancers:
What the market really pays and wants.

Demand and trends for PySpark – calculated from 35 real project and job postings of the last 90 days. No survey, no guesswork without data.

As of: week 41/2026 · updated weekly
Listings (90 d)
35
Rank 443 of 532 skills
Trend (90 d)
±0
Market share compared with the 90 days before. IT postings overall: ▲ 40 %
Of which must-have
37 %
Rated for 35 postings (AI analysis), otherwise “nice to have”
Remote possible
100 %
50 % fully remote · stated in 86 % of postings
The jury's verdict on PySpark

A niche with little data.

PySpark sits at rank 443 of 532, rather at the edge of demand. Its market share is stable (±0).

Small marketRank 443 of 532 skills, 35 postings in 90 days.
Stable marketMarket share ±0 vs. the 90 days before.
Remote possible100 % of postings allow remote work.
And how does your PySpark profile look?Check it for free

Who wants PySpark – and under which conditions

Seniority

Senior53 %
Mid-level32 %
Junior15 %

Senior dominates (53 %).

Stated in 97 % of listings

Contract type

Freelance86 %
Permanent14 %

Freelance dominates (86 %).

Stated in 100 % of listings

Workplace

Partly remote50 %
Fully remote50 %

Partly remote dominates (50 %). Anyone working fully remote only reaches 50 % of postings.

Stated in 86 % of listings

Project language

German77 %
English23 %

German dominates (77 %).

Stated in 100 % of listings

Current PySpark projects

Frequently asked questions about PySpark freelancing

How many PySpark projects are there right now?

In the last 90 days, 35 projects and jobs mentioning PySpark were posted. The market share changed by ±0 compared with the previous quarter.

Is PySpark still in demand for freelancers?

PySpark ranks 443 of 532 skills.

Are PySpark projects possible remotely?

100 % of PySpark postings allow remote work. 50 % are fully remote.

Methodology: We count IT postings of the last 90 days that mention PySpark. Projects posted several times that are detected as duplicates count once; postings without an assignable IT category are missing, so the figures are a lower bound. The trend compares the share of all IT postings with the 90 days before and only appears with enough comparison data. We do not show figures based on fewer than 30 data points. The rating “must have” or “nice to have” comes from an AI analysis of the posting texts. Distributions only refer to postings that state the respective attribute; we state the coverage alongside.

Basis: 10,534 IT listings in the window

You now know the PySpark market.
Now let the jury judge your profile.

Your CV against 35 PySpark listings – with findings, strengths and an hourly-rate check.

How freelancerjury works
Check CV