Skill · Technology tool · Data
Tracked since June 2024
Apache Spark in All Australia
Distributed processing for large datasets.
Also searched as spark, pyspark, databricks
Right now
Employers hiring
111top 5 post 23.8%
Job ad aggregate
- 4 wk
- Up+5.0%259 → 272 ads
- Entry
- 7.4%20 of 272 ads
Statistics
- Demand272job ads in 28 daysJob ads
- 4-week changeUp+5.0%259 → 272 adsJob ads
- 12-month changeUp+0.7%3,398 → 3,422 adsJob ads
- Entry-level share7.4%20 of 272 adsJob ads
- No PR stated62.1%169 of 272 adsJob ads
- Employers hiring111top 5 post 23.8%Job ads
- Median salary$132k1,506 of 3,422 adsJob ads
4 more measuresFewer measures
Advanced measures are noisier or easier to misread. Open the ⓘ next to each before leaning on it.
Composition
Roles that ask for Apache Spark
- 45% of Data Engineer ads mention Apache Spark.
Data EngineerData
45% - 25% of Data Scientist ads mention Apache Spark.
Data ScientistData
25%
Co-occurrence
Often asked for together
- Sometimesa common pairing in some roles
- PythonSQLMachine learningRustAzureStatistics
Location
Where the ads are
- New South Wales95 · 34.8%
- Victoria89 · 32.6%
- Queensland26 · 9.5%
- Western Australia26 · 9.5%
- Australian Capital Territory17 · 6.2%
- South Australia16 · 5.9%
- Tasmania4 · 1.5%
- Northern Territory0 · 0.00%
273 ads in the last four weeks under your filter, by state or country.
Before you decide
Demand is only one input
Learning effort
Months
Expect a few months of regular practice, ideally on a real project, before you can use it at work.
Transferability
Narrow
Mostly useful in a small set of roles or one tool ecosystem.
Rising ads don’t mean you should learn this.
Your interests, the time you have and what people in the work tell you matter more. Effort and transferability are editorial estimates, not measurements.
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