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

As of 2026-09-30, Data cleansing appears in 512 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning Data cleansing.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
512
Top role · 18.2% of skill postings
Data Engineer
Top hiring metro
Bengaluru

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Frequently asked questions about Data cleansing

+Is Data cleansing in demand in 2026?

Yes. Data cleansing appears in 512 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Data Engineer accounts for the most postings mentioning Data cleansing (18.2% of all postings mentioning Data cleansing).

+What jobs require Data cleansing?

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 Data cleansing are Sales Operations Analyst (19.7% of that role’s postings mention Data cleansing), Master Data Analyst (15.0% of that role’s postings mention Data cleansing), Database Developer (13.0% of that role’s postings mention Data cleansing).

+What skills are commonly paired with Data cleansing?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Data cleansing most often appears alongside SQL, Python, data validation, data modeling, ETL.

+Where is Data cleansing most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Data cleansing are Bengaluru, New York City, London, Hartford, Singapore, according to the Skillenai jobs index.

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

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

+Which skills come before and after Data cleansing?

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 Data cleansing — last 90 days

Salary distribution

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

Career paths around Data cleansing

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Data cleansing

Before Data cleansingpython → Data cleansing: 18 observed employer moves with this skill pairsql → Data cleansing: 16 observed employer moves with this skill pairTableau → Data cleansing: 13 observed employer moves with this skill pairPower BI → Data cleansing: 10 observed employer moves with this skill pairSQL Server → Data cleansing: 9 observed employer moves with this skill pairExcel → Data cleansing: 8 observed employer moves with this skill pairsnowflake → Data cleansing: 8 observed employer moves with this skill pairdata analysis → Data cleansing: 7 observed employer moves with this skill pairDatacleansingpython: 18 movespython18 movessql: 16 movessql16 movesTableau: 13 movesTableau13 movesPower BI: 10 movesPower BI10 movesSQL Server: 9 movesSQL Server9 movesExcel: 8 movesExcel8 movessnowflake: 8 movessnowflake8 movesdata analysis: 7 movesdata analysis7 moves

Skills after Data cleansing

After Data cleansingData cleansing → python: 17 observed employer moves with this skill pairData cleansing → sql: 17 observed employer moves with this skill pairData cleansing → Tableau: 15 observed employer moves with this skill pairData cleansing → ETL: 10 observed employer moves with this skill pairData cleansing → R: 9 observed employer moves with this skill pairData cleansing → Power BI: 9 observed employer moves with this skill pairData cleansing → SSIS: 8 observed employer moves with this skill pairData cleansing → Azure: 8 observed employer moves with this skill pairDatacleansingpython: 17 movespython17 movessql: 17 movessql17 movesTableau: 15 movesTableau15 movesETL: 10 movesETL10 movesR: 9 movesR9 movesPower BI: 9 movesPower BI9 movesSSIS: 8 movesSSIS8 movesAzure: 8 movesAzure8 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: python18
Before: sql16
Before: Tableau13
Before: Power BI10
Before: SQL Server9
Before: Excel8
Before: snowflake8
Before: data analysis7
After: python17
After: sql17
After: Tableau15
After: ETL10
After: R9
After: Power BI9
After: SSIS8
After: Azure8

Roles most likely to require Data cleansing

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

RolePostings mentioning skill% of role postings mentioning skill
Sales Operations Analyst1219.7%
Master Data Analyst315.0%
Database Developer313.0%
AI Business Analyst28.7%
Data Business Analyst28.3%
Finance Data Analyst27.4%
Credit Risk Analyst27.1%
Senior Data Engineer25.6%
Business Intelligence Specialist25.1%
Data Analytics Analyst15.0%

Roles with the most Data cleansing postings

RolePostings mentioning skillShare of skill postings
Data Engineer9318.2%
Data Analyst7614.8%
Data Scientist448.6%
Business Analyst183.5%
Software Engineer142.7%
Sales Operations Analyst122.3%
Data Architect91.8%
Business Intelligence Analyst81.6%
Data Steward71.4%
AI Engineer51.0%

Top companies posting jobs requiring Data cleansing

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

Top companies posting jobs requiring Data cleansing
CompanyPostings · 90 days
Travelers12
Xometry12
Barclays9
Cognite8
Bah8
Exiger6
Wise6
Roche6
Micron6
General Motors5

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 Data cleansing

NamePostingsShare
Bengaluru132.5%
New York City122.3%
London112.1%
Hartford102.0%
Singapore102.0%
Hyderabad91.8%
Washington81.6%
Columbus71.4%
Ashburn51.0%

Skills commonly paired with Data cleansing

SQL (299)Python (244)data validation (189)data modeling (148)ETL (142)data governance (131)Power BI (123)Data transformation (114)data visualization (104)data quality (90)

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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 Data cleansing by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Data cleansing postings by all Data cleansing 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
165f13e2faa28ad1
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Data cleansing?

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