Stream processing jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, Stream processing appears in 268 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Stream processing, with demand share up 15.6% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want Stream processing?
Upload your resume and Skillenai will show which roles your Stream processing experience fits, which skills you already cover, and what is missing.
Frequently asked questions about Stream processing
+Is Stream processing in demand in 2026?
Yes. Stream processing appears in 268 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Software Engineer accounts for the most postings mentioning Stream processing (54.1% of all postings mentioning Stream processing).
+What jobs require Stream processing?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning Stream processing are Engineering Leader (15.0% of that role’s postings mention Stream processing), Database Reliability Engineer (5.3% of that role’s postings mention Stream processing), Computer Scientist (4.3% of that role’s postings mention Stream processing).
+What skills are commonly paired with Stream processing?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), Stream processing most often appears alongside Java, Kafka, Python, Distributed systems, Kubernetes.
+Where is Stream processing most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring Stream processing are San Francisco, Bengaluru, London, New York City, Seattle, according to the Skillenai jobs index.
+How can I keep up with new Stream processing content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Stream processing alongside the jobs index. You can subscribe to a daily email digest of new Stream processing content from your Skillenai account.
+Which skills come before and after Stream processing?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring Stream processing — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around Stream processing
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Stream processing
Skills after Stream processing
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: JavaScript | 2 |
| Before: spray | 1 |
| Before: go-micro | 1 |
| Before: embedded firmware | 1 |
| Before: machine learning algorithms | 1 |
| Before: Blackduck | 1 |
| Before: Slick | 1 |
| Before: reliability | 1 |
| After: a/b testing | 2 |
| After: KMS | 1 |
| After: Context selection optimization | 1 |
| After: ETL | 1 |
| After: data vault | 1 |
| After: Spring Boot | 1 |
| After: Snowflake streams | 1 |
| After: AWS Glue | 1 |
Roles most likely to require Stream processing
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Engineering Leader | 3 | 15.0% |
| Database Reliability Engineer | 2 | 5.3% |
| Computer Scientist | 1 | 4.3% |
| Engineering Product Manager | 1 | 2.8% |
| Data Platform Engineer | 7 | 2.4% |
| Distributed Systems Engineer | 1 | 1.4% |
| Lead Data Engineer | 1 | 1.4% |
| Software Systems Engineer | 1 | 1.1% |
| Backend Software Engineer | 5 | 1.1% |
| Software Development Manager | 1 | 1.1% |
Roles with the most Stream processing postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 145 | 54.1% |
| Data Engineer | 39 | 14.6% |
| Backend Engineer | 13 | 4.9% |
| Data Platform Engineer | 7 | 2.6% |
| Machine Learning Engineer | 6 | 2.2% |
| Backend Software Engineer | 5 | 1.9% |
| Engineering Manager | 5 | 1.9% |
| Forward Deployed Engineer | 4 | 1.5% |
| Engineering Leader | 3 | 1.1% |
| Software Architect | 3 | 1.1% |
Top companies posting jobs requiring Stream processing
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Extreme Networks | 13 |
| Wise | 13 |
| PlayStation | 6 |
| Project44 | 5 |
| Elastic | 4 |
| Instana | 4 |
| Grab | 4 |
| ServiceNow | 4 |
| Monolith | 3 |
| Databricks | 3 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for Stream processing
| Name | Postings | Share |
|---|---|---|
| San Francisco | 20 | 7.5% |
| Bengaluru | 18 | 6.7% |
| London | 15 | 5.6% |
| New York City | 10 | 3.7% |
| Seattle | 8 | 3.0% |
| Mountain View | 5 | 1.9% |
| Sunnyvale | 5 | 1.9% |
| Tel Aviv | 5 | 1.9% |
| San Diego | 4 | 1.5% |
Skills commonly paired with Stream processing
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. 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 Stream processing by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Stream processing postings by all Stream processing 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). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 6ee70f2dc2b98055
- data_as_of
- 2026-10-29
- window_days
- 90