data structures and algorithms jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, data structures and algorithms appears in 592 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning data structures and algorithms.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about data structures and algorithms
+Is data structures and algorithms in demand in 2026?
Yes. data structures and algorithms appears in 592 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning data structures and algorithms (71.1% of all postings mentioning data structures and algorithms).
+What jobs require data structures and algorithms?
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 data structures and algorithms are Quantitative Strategist (8.7% of that role’s postings mention data structures and algorithms), Integration Engineer (7.6% of that role’s postings mention data structures and algorithms), Applied AI Architect (6.6% of that role’s postings mention data structures and algorithms).
+What skills are commonly paired with data structures and algorithms?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), data structures and algorithms most often appears alongside Python, Java, C++, JavaScript, Go.
+Where is data structures and algorithms most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring data structures and algorithms are London, Warsaw, Sunnyvale, Pune, San Jose, according to the Skillenai jobs index.
+How can I keep up with new data structures and algorithms content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data structures and algorithms alongside the jobs index. You can subscribe to a daily email digest of new data structures and algorithms content from your Skillenai account.
+Which skills come before and after data structures and algorithms?
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 data structures and algorithms — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around data structures and algorithms
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data structures and algorithms
Skills after data structures and algorithms
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: JUnit | 3 |
| Before: react.js | 3 |
| Before: JavaScript | 3 |
| Before: React | 3 |
| Before: C# | 2 |
| Before: Git | 2 |
| Before: data cleaning | 2 |
| After: JavaScript | 4 |
| After: sql | 4 |
| After: Java | 3 |
| After: AWS | 3 |
| After: generative AI | 2 |
| After: HTML | 2 |
| After: LLMs | 2 |
| After: Git | 2 |
Roles most likely to require data structures and algorithms
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Quantitative Strategist | 2 | 8.7% |
| Integration Engineer | 7 | 7.6% |
| Applied AI Architect | 5 | 6.6% |
| Ruby on Rails Developer | 1 | 5.0% |
| Staff Engineer | 8 | 3.5% |
| Data Engineer Intern | 1 | 3.2% |
| Software Engineer in Test (SDET) | 1 | 2.6% |
| AI Product Engineer | 2 | 2.4% |
| Applied Researcher | 1 | 2.4% |
| iOS Software Engineer | 3 | 2.3% |
Roles with the most data structures and algorithms postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 421 | 71.1% |
| Forward Deployed Engineer | 11 | 1.9% |
| Backend Engineer | 9 | 1.5% |
| Machine Learning Engineer | 8 | 1.4% |
| Staff Engineer | 8 | 1.4% |
| Integration Engineer | 7 | 1.2% |
| Software Developer | 6 | 1.0% |
| Applied AI Architect | 5 | 0.8% |
| Mobile Technical Lead | 5 | 0.8% |
| Software Engineer Intern | 5 | 0.8% |
Top companies posting jobs requiring data structures and algorithms
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| 211 | |
| Uber | 30 |
| DevRev | 20 |
| Stripe | 16 |
| Netskope | 13 |
| Workato | 11 |
| Cisco | 11 |
| UiPath | 9 |
| 8 | |
| WorldQuant | 8 |
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 data structures and algorithms
| Name | Postings | Share |
|---|---|---|
| London | 32 | 5.4% |
| Warsaw | 24 | 4.1% |
| Sunnyvale | 19 | 3.2% |
| Pune | 15 | 2.5% |
| San Jose | 14 | 2.4% |
| Bengaluru | 12 | 2.0% |
| Dublin | 12 | 2.0% |
| San Francisco | 12 | 2.0% |
| Austin | 9 | 1.5% |
Skills commonly paired with data structures and algorithms
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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 data structures and algorithms by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data structures and algorithms postings by all data structures and algorithms 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- f5d408464c046c4c
- 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.
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