profiling jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, profiling appears in 1,014 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning profiling, with demand share down 2.0% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
Which roles want profiling?
Upload your resume and Skillenai will show which roles your profiling experience fits, which skills you already cover, and what is missing.
Prepare to discuss profiling in your interview
We’re building mock interviews informed by job postings and career profiles, to help you explain how you’ve used profiling.
Frequently asked questions about profiling
+Is profiling in demand in 2026?
Yes. profiling appears in 1,014 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning profiling (41.4% of all postings mentioning profiling).
+What jobs require profiling?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning profiling are Performance Engineer (31.4% of that role’s postings mention profiling), Agent Engineer (14.3% of that role’s postings mention profiling), Machine Learning Systems Engineer (11.1% of that role’s postings mention profiling).
+What skills are commonly paired with profiling?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), profiling most often appears alongside Python, C++, debugging, Distributed systems, Java.
+Where is profiling most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring profiling are San Francisco, Bengaluru, New York City, London, San Jose, according to the Skillenai jobs index.
+How can I keep up with new profiling content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning profiling alongside the jobs index. You can subscribe to a daily email digest of new profiling content from your Skillenai account.
+Which skills come before and after profiling?
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 profiling — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around profiling
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before profiling
Skills after profiling
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: python | 3 |
| Before: sql | 3 |
| Before: React | 3 |
| Before: kubernetes | 2 |
| Before: CSS | 2 |
| Before: numpy | 2 |
| Before: C++ | 2 |
| Before: pandas | 2 |
| After: Redshift | 3 |
| After: MYSQL | 3 |
| After: Power BI | 2 |
| After: PL/SQL | 2 |
| After: PostgreSQL | 2 |
| After: NoSQL | 2 |
| After: ci/cd | 2 |
| After: HBase | 2 |
Roles most likely to require profiling
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Performance Engineer | 16 | 31.4% |
| Agent Engineer | 3 | 14.3% |
| Machine Learning Systems Engineer | 3 | 11.1% |
| Applied ML Engineer | 2 | 9.5% |
| ML Software Engineer | 2 | 9.1% |
| UI Engineer | 3 | 7.9% |
| AI Infrastructure Engineer | 5 | 7.1% |
| Core Infrastructure Engineer | 3 | 7.0% |
| Observability Engineer | 2 | 6.9% |
| Systems Software Engineer | 7 | 6.7% |
Roles with the most profiling postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 420 | 41.4% |
| Backend Engineer | 35 | 3.5% |
| Frontend Engineer | 20 | 2.0% |
| Machine Learning Engineer | 20 | 2.0% |
| Engineering Manager | 17 | 1.7% |
| Performance Engineer | 16 | 1.6% |
| Research Engineer | 15 | 1.5% |
| ML Engineer | 13 | 1.3% |
| Systems Engineer | 11 | 1.1% |
| iOS Engineer | 10 | 1.0% |
Top companies posting jobs requiring profiling
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| SpaceX | 42 |
| NVIDIA | 42 |
| General Motors | 17 |
| Applied | 17 |
| Crusoe | 13 |
| ServiceNow | 13 |
| Anthropic | 12 |
| Elastic | 12 |
| Skydio | 12 |
| Gitlab | 12 |
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 profiling
| Name | Postings | Share |
|---|---|---|
| San Francisco | 66 | 6.5% |
| Bengaluru | 31 | 3.1% |
| New York City | 30 | 3.0% |
| London | 29 | 2.9% |
| San Jose | 28 | 2.8% |
| Santa Clara | 18 | 1.8% |
| Sunnyvale | 17 | 1.7% |
| Austin | 16 | 1.6% |
| Toronto | 16 | 1.6% |
Skills commonly paired with profiling
Get a daily email digest of new profiling content
Skillenai indexes news articles, blog posts, and research papers that mention profiling. Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).
Explore related pages
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 profiling by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s profiling postings by all profiling 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: 0.5% to 0.5%. 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 2,596 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
- 2f82385a67d218c9
- data_as_of
- 2026-09-30
- 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.
Skillenai for recruiters →