data storage jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, data storage appears in 699 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning data storage.
Last updated · 90d ending 2026-10-29
Which roles want data storage?
Upload your resume and Skillenai will show which roles your data storage experience fits, which skills you already cover, and what is missing.
Frequently asked questions about data storage
+Is data storage in demand in 2026?
Yes. data storage appears in 699 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Software Engineer accounts for the most postings mentioning data storage (56.9% of all postings mentioning data storage).
+What jobs require data storage?
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 data storage are Data Engineering Lead (7.7% of that role’s postings mention data storage), Research Fellow (5.0% of that role’s postings mention data storage), Research Program Manager (4.8% of that role’s postings mention data storage).
+What skills are commonly paired with data storage?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), data storage most often appears alongside networking, security, Distributed computing, large-scale system design, Natural language processing.
+Where is data storage most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring data storage are Warsaw, San Francisco, London, Bengaluru, Toronto, according to the Skillenai jobs index.
+How can I keep up with new data storage content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data storage alongside the jobs index. You can subscribe to a daily email digest of new data storage content from your Skillenai account.
+Which skills come before and after data storage?
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 storage — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around data storage
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data storage
Skills after data storage
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: sql | 4 |
| Before: python | 3 |
| Before: AWS | 3 |
| Before: C# | 2 |
| Before: accessibility | 2 |
| Before: Python Scripts | 2 |
| Before: troubleshooting | 2 |
| Before: .NET Framework | 2 |
| After: data accuracy | 4 |
| After: python | 3 |
| After: dashboards | 3 |
| After: data integrity | 3 |
| After: ETL | 3 |
| After: data analysis | 2 |
| After: sql | 2 |
| After: AWS Glue | 2 |
Roles most likely to require data storage
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Data Engineering Lead | 4 | 7.7% |
| Research Fellow | 1 | 5.0% |
| Research Program Manager | 1 | 4.8% |
| VP of Engineering | 2 | 4.4% |
| Data Engineering Director | 3 | 4.4% |
| AI Lead | 1 | 3.7% |
| Research Software Engineer | 1 | 3.6% |
| Product Analytics Manager | 1 | 3.2% |
| Data Product Manager | 3 | 3.2% |
| Data Platform Architect | 1 | 3.1% |
Roles with the most data storage postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 398 | 56.9% |
| Data Engineer | 54 | 7.7% |
| Data Architect | 17 | 2.4% |
| Engineering Manager | 9 | 1.3% |
| Backend Engineer | 6 | 0.9% |
| Product Manager | 6 | 0.9% |
| Software Developer | 6 | 0.9% |
| Technical Product Manager | 6 | 0.9% |
| Solutions Architect | 5 | 0.7% |
| Data Analyst | 4 | 0.6% |
Top companies posting jobs requiring data storage
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| 284 | |
| Samsara | 15 |
| Accenture | 11 |
| YouTube | 8 |
| SpaceX | 8 |
| Nearform | 8 |
| Stripe | 5 |
| USAA | 5 |
| Barclays | 4 |
| Anthropic | 4 |
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 storage
| Name | Postings | Share |
|---|---|---|
| Warsaw | 31 | 4.4% |
| San Francisco | 19 | 2.7% |
| London | 18 | 2.6% |
| Bengaluru | 14 | 2.0% |
| Toronto | 11 | 1.6% |
| New York City | 9 | 1.3% |
| San Jose | 9 | 1.3% |
| Seattle | 7 | 1.0% |
| Los Angeles | 6 | 0.9% |
Skills commonly paired with data storage
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 data storage by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data storage postings by all data storage 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
- 23ff222a6ddd2995
- data_as_of
- 2026-10-29
- window_days
- 90