PySpark jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, PySpark appears in 2,264 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning PySpark, with demand down 49% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about PySpark
+Is PySpark in demand in 2026?
Yes. PySpark appears in 2,264 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 49% vs the prior 4 weeks. Data Engineer accounts for the most postings mentioning PySpark (38.0% of all postings mentioning PySpark).
+What jobs require PySpark?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning PySpark are Azure Data Engineer (37.8% of that role’s postings mention PySpark), Senior Data Engineer (36.1% of that role’s postings mention PySpark), Data Developer (30.0% of that role’s postings mention PySpark).
+What skills are commonly paired with PySpark?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), PySpark most often appears alongside Python, SQL, Databricks, ETL, AWS.
+Where is PySpark most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring PySpark are Bengaluru, Pune, Hyderabad, New York City, Toronto, according to the Skillenai jobs index.
+How can I keep up with new PySpark content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning PySpark alongside the jobs index. You can subscribe to a daily email digest of new PySpark content from your Skillenai account.
Weekly job postings requiring PySpark — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require PySpark
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Azure Data Engineer | 14 | 37.8% |
| Senior Data Engineer | 13 | 36.1% |
| Data Developer | 6 | 30.0% |
| Data Platform Architect | 8 | 21.1% |
| Machine Learning Platform Engineer | 5 | 20.0% |
| Data Engineering Intern | 6 | 16.7% |
| Cloud Data Engineer | 9 | 16.4% |
| Senior Data Scientist | 4 | 15.4% |
| Data Science Engineer | 6 | 14.3% |
| Data Science Analyst | 5 | 14.3% |
Roles with the most PySpark postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 860 | 38.0% |
| Data Scientist | 244 | 10.8% |
| Software Engineer | 147 | 6.5% |
| Data Analyst | 89 | 3.9% |
| Machine Learning Engineer | 53 | 2.3% |
| Data Architect | 31 | 1.4% |
| Solutions Architect | 26 | 1.1% |
| ML Engineer | 25 | 1.1% |
| Data Engineering Manager | 24 | 1.1% |
| Analytics Engineer | 15 | 0.7% |
Top metros hiring for PySpark
| Name | Postings | Share |
|---|---|---|
| Bengaluru | 81 | 3.6% |
| Pune | 54 | 2.4% |
| Hyderabad | 49 | 2.2% |
| New York City | 42 | 1.9% |
| Toronto | 41 | 1.8% |
| London | 40 | 1.8% |
| Amsterdam | 28 | 1.2% |
| Dublin | 28 | 1.2% |
| Singapore | 22 | 1.0% |
Skills commonly paired with PySpark
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning PySpark by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s PySpark postings by all PySpark postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 8c0acfcdab919eb7
- data_as_of
- 2026-09-28
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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