large-scale data processing jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-20, large-scale data processing appears in 141 job postings indexed by Skillenai over the past 90 days — most often required for Software Engineer roles, with demand up 71% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-20
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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 141 job postings indexed by Skillenai over the 90 days ending 2026-09-20, with demand up 71% vs the prior 4 weeks. It is most often required for Software Engineer roles (26% of Software Engineer postings list it).
+What jobs require large-scale data processing?
According to the Skillenai jobs index over the 90 days ending 2026-09-20, the job titles most likely to require large-scale data processing are Software Engineer (26% of postings list large-scale data processing), Machine Learning Engineer (10% of postings list large-scale data processing), AI Engineer (4% 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 2026-09-20), large-scale data processing most often appears alongside Python, Distributed systems, machine learning, data pipelines, AWS.
+Where is large-scale data processing most in demand?
As of 2026-09-20, the metro areas posting the most jobs requiring large-scale data processing are Mountain View, New York City, San Francisco, Austin, Berlin, 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 | 36 | 25.5% |
| Machine Learning Engineer | 14 | 9.9% |
| AI Engineer | 5 | 3.5% |
| Applied Scientist | 4 | 2.8% |
| Data Engineer | 4 | 2.8% |
| Data Scientist | 4 | 2.8% |
| Engineering Manager | 4 | 2.8% |
| Large Language Model Architect | 4 | 2.8% |
| Core Infrastructure Engineer | 3 | 2.1% |
| Forward Deployed Engineer | 3 | 2.1% |
Top metros hiring for large-scale data processing
| Name | Postings | Share |
|---|---|---|
| Mountain View | 15 | 10.6% |
| New York City | 10 | 7.1% |
| San Francisco | 9 | 6.4% |
| Austin | 3 | 2.1% |
| Berlin | 3 | 2.1% |
| Helsinki | 3 | 2.1% |
| London | 3 | 2.1% |
| Michigan City | 3 | 2.1% |
| Bengaluru | 2 | 1.4% |
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 2026-09-20. 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
- 2026-09-20
- 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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