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IT skill · Tool· Data & Analytics

Apache Spark freelancers:
What the market really pays and wants.

Demand and trends for Apache Spark – calculated from 60 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)
60
Rank 273 of 531 skills
Trend (90 d)
▲ 8 %
Market share compared with the 90 days before. IT postings overall: ▲ 42 %
Of which must-have
18 %
Rated for 60 postings (AI analysis), otherwise “nice to have”
Remote possible
92 %
33 % fully remote · stated in 87 % of postings
The jury's verdict on Apache Spark

Growing, but still small.

Apache Spark sits at rank 273 of 531, in the solid middle of demand. Its market share is rising (▲ 8 % vs. the 90 days before).

Solid demandRank 273 of 531 skills, 60 postings in 90 days.
Growing marketMarket share ▲ 8 % vs. the 90 days before.
Remote possible92 % of postings allow remote work.
And how does your Apache Spark profile look?Check it for free

What is Apache Spark – and why do companies hire Apache Spark freelancers?

The postings that mention Apache Spark fall into these types of project (share of the classified postings):

Data and AI79 %
Data platforms, analytics and AI solutions with Apache Spark.
Infrastructure and operations13 %
Cloud, automation and platform operations with Apache Spark.
New development5 %
Building new applications, platforms and products with Apache Spark.

Typical roles

The roles hired most often are Data Engineer (71 %), DevOps Engineer (13 %) and Backend Developer (5 %). Of the postings that state an experience level, 70 % explicitly ask for senior profiles.

Demand over the last 12 weeks

new listings per week
W29W40
▲ 8 %
Market share vs. previous quarter
▲ 54 %
Postings vs. previous quarter
273 / 531
Rank among all skills

Weekly postings for Apache Spark are rising: from an average of 2 to 9 per week (+289 %). Volume is developing better than the IT market overall (▲ 42 %).

Which skills Apache Spark is wanted with – and which ones pay off

Python appears in 72 % of Apache Spark postings.

Often named together

Python72 %(opens in new tab)SQL55 %(opens in new tab)CI/CD50 %(opens in new tab)Share of Apache Spark postings that also name the skill.

Who wants Apache Spark – and under which conditions

Seniority

Senior70 %
Mid-level22 %
Junior7 %

Senior dominates (70 %). Pure junior roles are rare (7 %).

Stated in 100 % of listings

Industries

it_software36 %
energy15 %
retail_ecommerce15 %
telecommunications9 %
banking_finance9 %

it_software leads (36 %).

Stated in 55 % of listings

Contract type

Freelance85 %
Permanent15 %

Freelance dominates (85 %).

Stated in 100 % of listings

Workplace

Partly remote60 %
Fully remote33 %
On site8 %

Partly remote dominates (60 %). Anyone working fully remote only reaches 33 % of postings.

Stated in 87 % of listings

Regions (on site)

Berlin21 %
Köln18 %
Mainz9 %
Zürich9 %
Bern6 %

Berlin leads (21 %).

Stated in 57 % of listings

Project language

German80 %
English20 %

German dominates (80 %).

Stated in 100 % of listings

Current Apache Spark projects

Frequently asked questions about Apache Spark freelancing

How many Apache Spark projects are there right now?

In the last 90 days, 60 projects and jobs mentioning Apache Spark were posted. That is around 5 per week. The market share changed by ▲ 8 % compared with the previous quarter.

Is Apache Spark still in demand for freelancers?

Apache Spark ranks 273 of 531 skills.

Are Apache Spark projects possible remotely?

92 % of Apache Spark postings allow remote work. 33 % are fully remote.

Which skills should I learn as a Apache Spark freelancer?

Python (72 %), SQL (55 %) and CI/CD (50 %) are most often required together with Apache Spark. What actually pays off for your profile is shown by the free CV check.

Methodology: We count IT postings of the last 90 days that mention Apache Spark. 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. An AI assigns the project type and role of each posting from its title, category and skills; the shares are counted postings, not estimates, and only appear with enough classified postings.

Basis: 10,565 IT listings in the window

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

Your CV against 60 Apache Spark listings – with findings, strengths and an hourly-rate check.

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