distributed data processing jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-08-27, distributed data processing appears in 243 job postings indexed by Skillenai over the past 90 days — most often required for Data Engineer roles, with demand up 28% vs the prior 4 weeks.
Last updated · 90d ending 2026-08-27
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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 243 job postings indexed by Skillenai over the 90 days ending 2026-08-27, with demand up 28% vs the prior 4 weeks. It is most often required for Data Engineer roles (31% of Data Engineer postings list it).
+What jobs require distributed data processing?
According to the Skillenai jobs index over the 90 days ending 2026-08-27, the job titles most likely to require distributed data processing are Data Engineer (31% of postings list distributed data processing), Software Engineer (16% of postings list distributed data processing), Data Scientist (11% of postings list distributed data processing).
+What skills are commonly paired with distributed data processing?
Across job postings indexed by Skillenai (90 days ending 2026-08-27), distributed data processing most often appears alongside Python, SQL, AWS, Databricks, data pipelines.
+Where is distributed data processing most in demand?
As of 2026-08-27, the metro areas posting the most jobs requiring distributed data processing are London, New York City, San Francisco, Bengaluru, Seattle, 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 | 75 | 30.9% |
| Software Engineer | 40 | 16.5% |
| Data Scientist | 27 | 11.1% |
| Machine Learning Engineer | 15 | 6.2% |
| Applied Scientist | 8 | 3.3% |
| Data Engineering Manager | 7 | 2.9% |
| Backend Engineer | 5 | 2.1% |
| Data Analyst | 3 | 1.2% |
| Data Engineering Director | 3 | 1.2% |
| AI Data Infrastructure/Pipeline Engineer | 2 | 0.8% |
Top metros hiring for distributed data processing
| Name | Postings | Share |
|---|---|---|
| London | 8 | 3.3% |
| New York City | 8 | 3.3% |
| San Francisco | 7 | 2.9% |
| Bengaluru | 6 | 2.5% |
| Seattle | 6 | 2.5% |
| Warsaw | 5 | 2.1% |
| Atlanta | 4 | 1.6% |
| Barcelona | 4 | 1.6% |
| Amsterdam | 3 | 1.2% |
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 2026-08-27. 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
- 2026-08-27
- 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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