deduplication jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, deduplication appears in 252 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning deduplication, with demand share up 10.1% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want deduplication?
Upload your resume and Skillenai will show which roles your deduplication experience fits, which skills you already cover, and what is missing.
Frequently asked questions about deduplication
+Is deduplication in demand in 2026?
Yes. deduplication appears in 252 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Data Engineer accounts for the most postings mentioning deduplication (10.7% of all postings mentioning deduplication).
+What jobs require deduplication?
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 deduplication are Business Systems Engineer (9.1% of that role’s postings mention deduplication), Master Data Analyst (8.7% of that role’s postings mention deduplication), Marketing Operations Manager (8.1% of that role’s postings mention deduplication).
+What skills are commonly paired with deduplication?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), deduplication most often appears alongside Python, SQL, Salesforce, data pipelines, data governance.
+Where is deduplication most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring deduplication are New York City, San Francisco, Bengaluru, Chicago, Toronto, according to the Skillenai jobs index.
+How can I keep up with new deduplication content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning deduplication alongside the jobs index. You can subscribe to a daily email digest of new deduplication content from your Skillenai account.
+Which skills come before and after deduplication?
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 deduplication — last 90 days
Career paths around deduplication
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before deduplication
Skills after deduplication
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: Tableau Server | 1 |
| Before: DynamoDB | 1 |
| Before: python | 1 |
| Before: use case diagrams | 1 |
| Before: Excel template | 1 |
| Before: uml diagrams | 1 |
| Before: activity diagrams | 1 |
| Before: groups | 1 |
| After: Azure DevOps | 2 |
| After: ETL | 1 |
| After: DynamoDB | 1 |
| After: metadata | 1 |
| After: python | 1 |
| After: spatial partitioning techniques | 1 |
| After: API Gateway | 1 |
| After: file systems | 1 |
Roles most likely to require deduplication
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Business Systems Engineer | 4 | 9.1% |
| Master Data Analyst | 2 | 8.7% |
| Marketing Operations Manager | 3 | 8.1% |
| Forward Deployed AI Engineer | 4 | 4.2% |
| GTM Engineer | 7 | 3.8% |
| Applied Data Scientist | 1 | 3.6% |
| Senior Data Engineer | 1 | 3.4% |
| Product Data Analyst | 2 | 3.3% |
| Deep Learning Engineer | 1 | 3.3% |
| Network Automation Engineer | 1 | 2.3% |
Roles with the most deduplication postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 27 | 10.7% |
| Software Engineer | 27 | 10.7% |
| Product Manager | 17 | 6.7% |
| Data Analyst | 8 | 3.2% |
| Backend Engineer | 7 | 2.8% |
| GTM Engineer | 7 | 2.8% |
| Research Engineer | 6 | 2.4% |
| Data Scientist | 5 | 2.0% |
| Sales Operations Systems and Data Lead | 5 | 2.0% |
| AI Engineer | 4 | 1.6% |
Top companies posting jobs requiring deduplication
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Braze | 8 |
| Doitintl | 7 |
| Thinking Machines | 5 |
| New Relic | 4 |
| General Motors | 4 |
| Highmetric | 4 |
| Wonderschool | 3 |
| Inspiren | 3 |
| CBA | 3 |
| Collibra | 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 deduplication
| Name | Postings | Share |
|---|---|---|
| New York City | 19 | 7.5% |
| San Francisco | 18 | 7.1% |
| Bengaluru | 6 | 2.4% |
| Chicago | 6 | 2.4% |
| Toronto | 6 | 2.4% |
| Berlin | 5 | 2.0% |
| Athens | 3 | 1.2% |
| Barcelona | 3 | 1.2% |
| Santa Clara | 3 | 1.2% |
Skills commonly paired with deduplication
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 deduplication by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s deduplication postings by all deduplication 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
- 2b42b12dbb1a5ecf
- data_as_of
- 2026-10-29
- window_days
- 90