Waterfall jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-15, Waterfall appears in 788 job postings indexed by Skillenai over the past 90 days — Business Analyst has the most postings mentioning Waterfall, with demand share down 1.9% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-15

Postings · last 90 days
788
Demand vs prior month
down 1.9% vs the prior 4 weeks
Top role · 16.9% of skill postings
Top hiring metro
New York City

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Frequently asked questions about Waterfall

+Is Waterfall in demand in 2026?

Yes. Waterfall appears in 788 job postings indexed by Skillenai over the 90 days ending 2026-10-15. Business Analyst accounts for the most postings mentioning Waterfall (16.9% of all postings mentioning Waterfall).

+What jobs require Waterfall?

According to the Skillenai jobs index over the 90 days ending 2026-10-15, among roles with at least 20 postings, the highest shares mentioning Waterfall are AI Project Manager (27.6% of that role’s postings mention Waterfall), Delivery Manager (25.0% of that role’s postings mention Waterfall), Engagement Manager (12.5% of that role’s postings mention Waterfall).

+What skills are commonly paired with Waterfall?

Across job postings indexed by Skillenai (90 days ending 2026-10-15), Waterfall most often appears alongside Agile, JIRA, Scrum, SQL, project management.

+Where is Waterfall most in demand?

As of 2026-10-15, the metro areas posting the most jobs requiring Waterfall are New York City, Toronto, Pune, London, Bengaluru, according to the Skillenai jobs index.

+How can I keep up with new Waterfall content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Waterfall alongside the jobs index. You can subscribe to a daily email digest of new Waterfall content from your Skillenai account.

+Which skills come before and after Waterfall?

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 Waterfall — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around Waterfall

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Waterfall

Before Waterfallsql → Waterfall: 12 observed employer moves with this skill pairAgile → Waterfall: 12 observed employer moves with this skill pairJira → Waterfall: 12 observed employer moves with this skill pairpython → Waterfall: 8 observed employer moves with this skill pairJava → Waterfall: 7 observed employer moves with this skill pairExcel → Waterfall: 6 observed employer moves with this skill pairScrum → Waterfall: 6 observed employer moves with this skill pairoracle → Waterfall: 5 observed employer moves with this skill pairWaterfallsql: 12 movessql12 movesAgile: 12 movesAgile12 movesJira: 12 movesJira12 movespython: 8 movespython8 movesJava: 7 movesJava7 movesExcel: 6 movesExcel6 movesScrum: 6 movesScrum6 movesoracle: 5 movesoracle5 moves

Skills after Waterfall

After WaterfallWaterfall → Jira: 15 observed employer moves with this skill pairWaterfall → python: 8 observed employer moves with this skill pairWaterfall → Java: 7 observed employer moves with this skill pairWaterfall → Confluence: 6 observed employer moves with this skill pairWaterfall → Scrum: 5 observed employer moves with this skill pairWaterfall → agile methodology: 5 observed employer moves with this skill pairWaterfall → Selenium: 5 observed employer moves with this skill pairWaterfall → sql: 5 observed employer moves with this skill pairWaterfallJira: 15 movesJira15 movespython: 8 movespython8 movesJava: 7 movesJava7 movesConfluence: 6 movesConfluence6 movesScrum: 5 movesScrum5 movesagile methodology: 5 movesagile methodology5 movesSelenium: 5 movesSelenium5 movessql: 5 movessql5 moves
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.

Observed connections and move counts
ConnectionMoves
Before: sql12
Before: Agile12
Before: Jira12
Before: python8
Before: Java7
Before: Excel6
Before: Scrum6
Before: oracle5
After: Jira15
After: python8
After: Java7
After: Confluence6
After: Scrum5
After: agile methodology5
After: Selenium5
After: sql5

Roles most likely to require Waterfall

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
AI Project Manager827.6%
Delivery Manager525.0%
Engagement Manager712.5%
Technical Project Manager1312.4%
IT Project Manager210.0%
QA Manager210.0%
Strategic Program Manager29.5%
Customer Program Manager49.3%
AI Program Manager49.1%
Solution Consultant28.3%

Roles with the most Waterfall postings

RolePostings mentioning skillShare of skill postings
Business Analyst13316.9%
Software Engineer10313.1%
Program Manager10212.9%
Technical Program Manager536.7%
Solution Architect243.0%
Product Manager192.4%
Project Manager182.3%
Product Owner162.0%
Technical Project Manager131.6%
Systems Engineer111.4%

Top companies posting jobs requiring Waterfall

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring Waterfall
CompanyPostings · 90 days
Elsevier50
Capco30
USAA21
Cisco18
SNC17
NiCE14
Globalpr13
GlobaliD11
Parloa11
Airkit10

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 Waterfall

NamePostingsShare
New York City212.7%
Toronto212.7%
Pune202.5%
London172.2%
Bengaluru141.8%
Washington101.3%
Aguadilla91.1%
Kuala Lumpur91.1%
Raleigh91.1%

Skills commonly paired with Waterfall

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-15. 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 Waterfall by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Waterfall postings by all Waterfall 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: 0.3% to 0.3%. 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 2,614 identified employers and covers 71% of earlier and 72% of latest indexed postings. Windows: 2026-06-16 to 2026-09-14 and 2026-07-14 to 2026-10-12 (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
e7b9dd248f2054c7
data_as_of
2026-10-15
window_days
90
Hiring engineers who use Waterfall?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index