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

As of 2026-09-30, Workato appears in 420 job postings indexed by Skillenai over the past 90 days — Integration Engineer has the most postings mentioning Workato, with demand share down 6.6% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
420
Demand vs prior month
down 6.6% vs the prior 4 weeks
Top role · 5.2% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about Workato

+Is Workato in demand in 2026?

Yes. Workato appears in 420 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Integration Engineer accounts for the most postings mentioning Workato (5.2% of all postings mentioning Workato).

+What jobs require Workato?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning Workato are Integration Developer (38.1% of that role’s postings mention Workato), Business Systems Engineer (27.3% of that role’s postings mention Workato), Integration Engineer (23.9% of that role’s postings mention Workato).

+What skills are commonly paired with Workato?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Workato most often appears alongside Python, Salesforce, Zapier, SQL, REST APIs.

+Where is Workato most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Workato are San Francisco, New York City, Toronto, London, Bengaluru, according to the Skillenai jobs index.

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

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

+Which skills come before and after Workato?

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 Workato — last 90 days

Salary distribution

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

Career paths around Workato

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Workato

Before Workatomssql → Workato: 1 observed employer moves with this skill pairpython → Workato: 1 observed employer moves with this skill pairWindows → Workato: 1 observed employer moves with this skill pairrelational databases → Workato: 1 observed employer moves with this skill pairLinux → Workato: 1 observed employer moves with this skill pairRedis → Workato: 1 observed employer moves with this skill pairAmazon RDS for MySQL → Workato: 1 observed employer moves with this skill pairGolang → Workato: 1 observed employer moves with this skill pairWorkatomssql: 1 movesmssql1 movespython: 1 movespython1 movesWindows: 1 movesWindows1 movesrelational databases: 1 movesrelationaldatabases1 movesLinux: 1 movesLinux1 movesRedis: 1 movesRedis1 movesAmazon RDS for MySQL: 1 movesAmazon RDS forMySQL1 movesGolang: 1 movesGolang1 moves

Skills after Workato

After WorkatoWorkato → python: 1 observed employer moves with this skill pairWorkatopython: 1 movespython1 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: mssql1
Before: python1
Before: Windows1
Before: relational databases1
Before: Linux1
Before: Redis1
Before: Amazon RDS for MySQL1
Before: Golang1
After: python1

Roles most likely to require Workato

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

RolePostings mentioning skill% of role postings mentioning skill
Integration Developer838.1%
Business Systems Engineer1227.3%
Integration Engineer2223.9%
Marketing Operations Manager520.0%
AI Agent Engineer1115.1%
IT Automation Engineer312.5%
GTM Engineer1512.4%
IT Engineer712.3%
Lead Architect311.5%
IT Systems Administrator27.4%

Roles with the most Workato postings

RolePostings mentioning skillShare of skill postings
Integration Engineer225.2%
Forward Deployed Engineer194.5%
Technical Architect163.8%
GTM Engineer153.6%
Software Engineer153.6%
Business Systems Engineer122.9%
Product Manager122.9%
AI Agent Engineer112.6%
IT Systems Engineer102.4%
Solutions Architect92.1%

Top companies posting jobs requiring Workato

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

Top companies posting jobs requiring Workato
CompanyPostings · 90 days
Workato28
MaintainX17
Gitlab16
Aircallioinc12
ServiceNow10
Lyft9
Verkada8
Rocketlane8
Samsara8
StackAdapt7

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 Workato

NamePostingsShare
San Francisco399.3%
New York City317.4%
Toronto153.6%
London133.1%
Bengaluru102.4%
Palo Alto102.4%
Mexico City92.1%
Berlin81.9%
Boston71.7%

Skills commonly paired with Workato

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 Workato by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Workato postings by all Workato 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: 0.2% to 0.2%. 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 2,595 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
65ba23a960493cd0
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Workato?

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