large-scale data processing jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-06-11, large-scale data processing appears in 249 job postings indexed by Skillenai over the past 90 days — most often required for Software Engineer roles, with demand down 82% vs the prior 4 weeks.
Last updated · 90d ending 2026-06-11
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Frequently asked questions about large-scale data processing
+Is large-scale data processing in demand in 2026?
Yes. large-scale data processing appears in 249 job postings indexed by Skillenai over the 90 days ending 2026-06-11, with demand down 82% vs the prior 4 weeks. It is most often required for Software Engineer roles (48% of Software Engineer postings list it).
+What jobs require large-scale data processing?
According to the Skillenai jobs index over the 90 days ending 2026-06-11, the job titles most likely to require large-scale data processing are Software Engineer (48% of postings list large-scale data processing), Data Scientist (4% of postings list large-scale data processing), Data Engineer (3% of postings list large-scale data processing).
+What skills are commonly paired with large-scale data processing?
Across job postings indexed by Skillenai (90 days ending 2026-06-11), large-scale data processing most often appears alongside Python, Docker, Linux, Terraform, infrastructure-as-code.
+Where is large-scale data processing most in demand?
As of 2026-06-11, the metro areas posting the most jobs requiring large-scale data processing are San Francisco, New York City, Mountain View, London, Singapore, according to the Skillenai jobs index.
+How can I keep up with new large-scale data processing content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning large-scale data processing alongside the jobs index. You can subscribe to a daily email digest of new large-scale data processing content from your Skillenai account.
Weekly job postings requiring large-scale data processing — last 90 days
Job titles most likely to require large-scale data processing
| Role | Postings mentioning | % requiring |
|---|---|---|
| Software Engineer | 119 | 47.8% |
| Data Scientist | 11 | 4.4% |
| Data Engineer | 8 | 3.2% |
| Backend Engineer | 7 | 2.8% |
| Engineering Manager | 7 | 2.8% |
| Research Engineer | 6 | 2.4% |
| Machine Learning Engineer | 5 | 2.0% |
| Staff Software Engineer | 4 | 1.6% |
| AI Data Engineer | 3 | 1.2% |
| AI Engineer | 3 | 1.2% |
Top metros hiring for large-scale data processing
| Name | Postings | Share |
|---|---|---|
| San Francisco | 17 | 6.8% |
| New York City | 13 | 5.2% |
| Mountain View | 9 | 3.6% |
| London | 8 | 3.2% |
| Singapore | 6 | 2.4% |
| Palo Alto | 4 | 1.6% |
| Tel Aviv | 4 | 1.6% |
| Toronto | 4 | 1.6% |
| Berlin | 3 | 1.2% |
Skills commonly paired with large-scale 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
- 19df7aa9e2532072
- 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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