query tuning jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, query tuning appears in 190 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning query tuning, with demand share up 10.6% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want query tuning?
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Frequently asked questions about query tuning
+Is query tuning in demand in 2026?
Yes. query tuning appears in 190 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Engineer accounts for the most postings mentioning query tuning (18.4% of all postings mentioning query tuning).
+What jobs require query tuning?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning query tuning are Database Architect (5.6% of that role’s postings mention query tuning), Database Engineer (5.3% of that role’s postings mention query tuning), DataOps Engineer (5.0% of that role’s postings mention query tuning).
+What skills are commonly paired with query tuning?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), query tuning most often appears alongside SQL, Python, data modeling, indexing, ETL.
+Where is query tuning most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring query tuning are Pune, Seoul, Washington, Bengaluru, Chicago, according to the Skillenai jobs index.
+How can I keep up with new query tuning content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning query tuning alongside the jobs index. You can subscribe to a daily email digest of new query tuning content from your Skillenai account.
+Which skills come before and after query tuning?
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 query tuning — last 90 days
Career paths around query tuning
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before query tuning
Skills after query tuning
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 | 7 |
| Before: SQL Server | 5 |
| Before: SSIS | 4 |
| Before: Power BI | 4 |
| Before: python | 3 |
| Before: RESTful APIs | 3 |
| Before: Azure Data Factory | 3 |
| Before: Tableau | 3 |
| After: spark | 3 |
| After: Azure Data Factory | 2 |
| After: Data quality | 2 |
| After: Python Scripts | 2 |
| After: materialized views | 2 |
| After: Power BI | 2 |
| After: python | 2 |
| After: functions | 2 |
Roles most likely to require query tuning
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Database Architect | 2 | 5.6% |
| Database Engineer | 6 | 5.3% |
| DataOps Engineer | 1 | 5.0% |
| SQL Database Administrator | 1 | 4.5% |
| Master Data Analyst | 1 | 4.3% |
| Business Intelligence Developer | 4 | 3.6% |
| Database Administrator | 21 | 3.3% |
| Database Developer | 1 | 3.2% |
| Oracle Database Administrator | 1 | 2.9% |
| Database Reliability Engineer | 1 | 2.5% |
Roles with the most query tuning postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 35 | 18.4% |
| Software Engineer | 32 | 16.8% |
| Database Administrator | 21 | 11.1% |
| Solutions Architect | 13 | 6.8% |
| Data Platform Engineer | 6 | 3.2% |
| Database Engineer | 6 | 3.2% |
| Business Intelligence Developer | 4 | 2.1% |
| Full Stack Engineer | 4 | 2.1% |
| Backend Engineer | 3 | 1.6% |
| Data Analyst | 3 | 1.6% |
Top companies posting jobs requiring query tuning
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Databricks | 11 |
| TRM Labs | 7 |
| Backblaze | 3 |
| Fmr | 3 |
| Sopra Steria | 3 |
| Mirantis | 3 |
| Inetum | 3 |
| Drweng | 2 |
| Smarsh | 2 |
| ICF | 2 |
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 query tuning
| Name | Postings | Share |
|---|---|---|
| Pune | 4 | 2.1% |
| Seoul | 3 | 1.6% |
| Washington | 3 | 1.6% |
| Bengaluru | 2 | 1.1% |
| Chicago | 2 | 1.1% |
| London | 2 | 1.1% |
| Michigan City | 2 | 1.1% |
| Scottsdale | 2 | 1.1% |
| Sofia | 2 | 1.1% |
Skills commonly paired with query tuning
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 2026-10-30. 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 query tuning by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s query tuning postings by all query tuning 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
- 8ed43f2b3988a2e4
- data_as_of
- 2026-10-30
- window_days
- 90