distributed data processing jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-06-11, distributed data processing appears in 279 job postings indexed by Skillenai over the past 90 days — most often required for Data Engineer roles, with demand down 38% vs the prior 4 weeks.
Last updated · 90d ending 2026-06-11
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Frequently asked questions about distributed data processing
+Is distributed data processing in demand in 2026?
Yes. distributed data processing appears in 279 job postings indexed by Skillenai over the 90 days ending 2026-06-11, with demand down 38% vs the prior 4 weeks. It is most often required for Data Engineer roles (20% of Data Engineer postings list it).
+What jobs require distributed data processing?
According to the Skillenai jobs index over the 90 days ending 2026-06-11, the job titles most likely to require distributed data processing are Data Engineer (20% of postings list distributed data processing), Software Engineer (18% of postings list distributed data processing), Machine Learning Engineer (6% of postings list distributed data processing).
+What skills are commonly paired with distributed data processing?
Across job postings indexed by Skillenai (90 days ending 2026-06-11), distributed data processing most often appears alongside Python, SQL, data pipelines, Apache Spark, machine learning.
+Where is distributed data processing most in demand?
As of 2026-06-11, the metro areas posting the most jobs requiring distributed data processing are San Francisco, Bengaluru, New York City, Hyderabad, London, according to the Skillenai jobs index.
+How can I keep up with new distributed data processing content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning distributed data processing alongside the jobs index. You can subscribe to a daily email digest of new distributed data processing content from your Skillenai account.
Weekly job postings requiring distributed data processing — last 90 days
Job titles most likely to require distributed data processing
| Role | Postings mentioning | % requiring |
|---|---|---|
| Data Engineer | 55 | 19.7% |
| Software Engineer | 51 | 18.3% |
| Machine Learning Engineer | 17 | 6.1% |
| Data Scientist | 14 | 5.0% |
| Staff Data Scientist | 7 | 2.5% |
| Applied Scientist | 6 | 2.2% |
| Engineering Manager | 6 | 2.2% |
| Staff Software Engineer | 6 | 2.2% |
| Data Engineering Manager | 5 | 1.8% |
| Data Infrastructure Engineer | 5 | 1.8% |
Top metros hiring for distributed data processing
| Name | Postings | Share |
|---|---|---|
| San Francisco | 24 | 8.6% |
| Bengaluru | 12 | 4.3% |
| New York City | 12 | 4.3% |
| Hyderabad | 7 | 2.5% |
| London | 6 | 2.2% |
| Seattle | 6 | 2.2% |
| Tel Aviv | 5 | 1.8% |
| Budapest | 3 | 1.1% |
| Los Angeles | 3 | 1.1% |
Skills commonly paired with distributed data processing
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-06-11. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- a39e068217c09565
- data_as_of
- 2026-06-11
- 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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