Spark jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, Spark appears in 4,356 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning Spark, with demand down 51% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about Spark
+Is Spark in demand in 2026?
Yes. Spark appears in 4,356 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 51% vs the prior 4 weeks. Data Engineer accounts for the most postings mentioning Spark (20.9% of all postings mentioning Spark).
+What jobs require Spark?
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 Spark are Big Data Engineer (37.0% of that role’s postings mention Spark), Data Science Consultant (33.3% of that role’s postings mention Spark), Consulting Engineer (29.0% of that role’s postings mention Spark).
+What skills are commonly paired with Spark?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), Spark most often appears alongside Python, SQL, AWS, Kafka, Java.
+Where is Spark most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring Spark are New York City, Bengaluru, San Francisco, London, Toronto, according to the Skillenai jobs index.
+How can I keep up with new Spark content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Spark alongside the jobs index. You can subscribe to a daily email digest of new Spark content from your Skillenai account.
Weekly job postings requiring Spark — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require Spark
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Big Data Engineer | 20 | 37.0% |
| Data Science Consultant | 24 | 33.3% |
| Consulting Engineer | 18 | 29.0% |
| Machine Learning Systems Engineer | 7 | 25.9% |
| Senior Data Engineer | 9 | 25.0% |
| Lead Data Engineer | 18 | 24.7% |
| Data Engineering Lead | 17 | 23.6% |
| Principal Data Scientist | 8 | 20.5% |
| Machine Learning Platform Engineer | 5 | 20.0% |
| AI/ML Architect | 5 | 19.2% |
Roles with the most Spark postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 910 | 20.9% |
| Software Engineer | 695 | 16.0% |
| Data Scientist | 489 | 11.2% |
| Machine Learning Engineer | 269 | 6.2% |
| Solutions Architect | 142 | 3.3% |
| Data Analyst | 107 | 2.5% |
| Engineering Manager | 59 | 1.4% |
| AI Engineer | 50 | 1.1% |
| Data Architect | 48 | 1.1% |
| Data Platform Engineer | 43 | 1.0% |
Top metros hiring for Spark
| Name | Postings | Share |
|---|---|---|
| New York City | 162 | 3.7% |
| Bengaluru | 149 | 3.4% |
| San Francisco | 121 | 2.8% |
| London | 92 | 2.1% |
| Toronto | 82 | 1.9% |
| Singapore | 75 | 1.7% |
| Seattle | 63 | 1.4% |
| Amsterdam | 54 | 1.2% |
| San Jose | 53 | 1.2% |
Skills commonly paired with Spark
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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 Spark by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Spark postings by all Spark 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
- 00fc2a5426e4cb64
- 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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