Apache Spark jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, Apache Spark appears in 2,200 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning Apache Spark, with demand down 53% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about Apache Spark
+Is Apache Spark in demand in 2026?
Yes. Apache Spark appears in 2,200 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 53% vs the prior 4 weeks. Data Engineer accounts for the most postings mentioning Apache Spark (25.7% of all postings mentioning Apache Spark).
+What jobs require Apache 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 Apache Spark are Senior Data Engineer (25.0% of that role’s postings mention Apache Spark), Field Engineering Manager (22.9% of that role’s postings mention Apache Spark), Solution Engineer (20.8% of that role’s postings mention Apache Spark).
+What skills are commonly paired with Apache Spark?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), Apache Spark most often appears alongside Python, SQL, AWS, Java, Databricks.
+Where is Apache Spark most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring Apache Spark are Bengaluru, New York City, London, Singapore, San Francisco, according to the Skillenai jobs index.
+How can I keep up with new Apache Spark content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Apache Spark alongside the jobs index. You can subscribe to a daily email digest of new Apache Spark content from your Skillenai account.
Weekly job postings requiring Apache Spark — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require Apache Spark
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Senior Data Engineer | 9 | 25.0% |
| Field Engineering Manager | 8 | 22.9% |
| Solution Engineer | 51 | 20.8% |
| Big Data Engineer | 10 | 18.5% |
| Cloud Data Engineer | 10 | 18.2% |
| Partner Solutions Architect | 5 | 17.2% |
| Developer Relations Manager | 6 | 17.1% |
| Actuarial Analyst | 3 | 15.0% |
| Delivery Solutions Architect | 7 | 14.9% |
| Data Infrastructure Engineer | 4 | 13.8% |
Roles with the most Apache Spark postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 566 | 25.7% |
| Software Engineer | 344 | 15.6% |
| Solutions Architect | 180 | 8.2% |
| Data Scientist | 101 | 4.6% |
| Forward Deployed Engineer | 87 | 4.0% |
| Machine Learning Engineer | 67 | 3.0% |
| Solution Engineer | 51 | 2.3% |
| Engineering Manager | 38 | 1.7% |
| Data Architect | 37 | 1.7% |
| AI Engineer | 36 | 1.6% |
Top metros hiring for Apache Spark
| Name | Postings | Share |
|---|---|---|
| Bengaluru | 96 | 4.4% |
| New York City | 66 | 3.0% |
| London | 51 | 2.3% |
| Singapore | 42 | 1.9% |
| San Francisco | 41 | 1.9% |
| Amsterdam | 39 | 1.8% |
| Pune | 37 | 1.7% |
| Hyderabad | 35 | 1.6% |
| Mountain View | 35 | 1.6% |
Skills commonly paired with Apache 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 Apache Spark by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Apache Spark postings by all Apache 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
- 8941fbaa6b04f7b4
- 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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