database optimization jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, database optimization appears in 144 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning database optimization.
Last updated · 90d ending 2026-10-29
Which roles want database optimization?
Upload your resume and Skillenai will show which roles your database optimization experience fits, which skills you already cover, and what is missing.
Frequently asked questions about database optimization
+Is database optimization in demand in 2026?
Yes. database optimization appears in 144 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Software Engineer accounts for the most postings mentioning database optimization (25.7% of all postings mentioning database optimization).
+What jobs require database optimization?
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 database optimization are SQL Database Administrator (18.2% of that role’s postings mention database optimization), Database Reliability Engineer (7.9% of that role’s postings mention database optimization), Azure Data Engineer (5.4% of that role’s postings mention database optimization).
+What skills are commonly paired with database optimization?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), database optimization most often appears alongside SQL, Python, AWS, CI/CD, TypeScript.
+Where is database optimization most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring database optimization are Bengaluru, San Francisco, Nieuwegein, Boston, Chengdu, according to the Skillenai jobs index.
+How can I keep up with new database optimization content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning database optimization alongside the jobs index. You can subscribe to a daily email digest of new database optimization content from your Skillenai account.
+Which skills come before and after database optimization?
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 database optimization — last 90 days
Career paths around database optimization
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before database optimization
Skills after database optimization
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: oracle | 2 |
| Before: python | 2 |
| Before: RESTful APIs | 2 |
| Before: Tableau | 2 |
| Before: data warehousing solutions | 1 |
| Before: ETL | 1 |
| Before: Hive UDF | 1 |
| Before: automation | 1 |
| After: Agile | 2 |
| After: Jenkins | 2 |
| After: SSRS | 2 |
| After: data warehousing | 2 |
| After: Spring Boot | 2 |
| After: C# | 1 |
| After: ci/cd | 1 |
| After: ETL | 1 |
Roles most likely to require database optimization
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| SQL Database Administrator | 4 | 18.2% |
| Database Reliability Engineer | 3 | 7.9% |
| Azure Data Engineer | 2 | 5.4% |
| Database Administrator (DBA) | 1 | 4.0% |
| Java Backend Developer | 1 | 3.6% |
| Database Developer | 1 | 3.4% |
| Back-End Developer | 1 | 3.2% |
| Oracle Database Administrator | 1 | 2.9% |
| Database Engineer | 3 | 2.7% |
| Developer Relations Engineer | 1 | 2.5% |
Roles with the most database optimization postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 37 | 25.7% |
| Software Developer | 9 | 6.2% |
| Data Engineer | 8 | 5.6% |
| Backend Engineer | 7 | 4.9% |
| Database Administrator | 7 | 4.9% |
| Forward Deployed Engineer | 4 | 2.8% |
| Product Engineer | 4 | 2.8% |
| SQL Database Administrator | 4 | 2.8% |
| Data Analyst | 3 | 2.1% |
| Database Engineer | 3 | 2.1% |
Top companies posting jobs requiring database optimization
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Clio | 7 |
| Sopra Steria | 5 |
| TeamSnap | 5 |
| Mintlify | 4 |
| Cloudflare | 4 |
| Integrated Resources | 3 |
| Endeavor IT Solutions Pvt.Ltd. | 3 |
| Smartsheet | 3 |
| Branch | 3 |
| CLERA | 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 database optimization
| Name | Postings | Share |
|---|---|---|
| Bengaluru | 7 | 4.9% |
| San Francisco | 6 | 4.2% |
| Nieuwegein | 4 | 2.8% |
| Boston | 2 | 1.4% |
| Chengdu | 2 | 1.4% |
| Dublin | 2 | 1.4% |
| Mumbai | 2 | 1.4% |
| Tampa | 2 | 1.4% |
| Toronto | 2 | 1.4% |
Skills commonly paired with database optimization
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 database optimization by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s database optimization postings by all database optimization 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
- df50dc74f860f7ac
- data_as_of
- 2026-10-29
- window_days
- 90