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data quality controls jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-09, data quality controls appears in 195 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning data quality controls, with demand share up 8.2% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-09

Postings · last 90 days
195
Demand vs prior month
up 8.2% vs the prior 4 weeks
Top role · 20.5% of skill postings
Data Engineer
Top hiring metro
Toronto

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Frequently asked questions about data quality controls

+Is data quality controls in demand in 2026?

Yes. data quality controls appears in 195 job postings indexed by Skillenai over the 90 days ending 2026-10-09. Data Engineer accounts for the most postings mentioning data quality controls (20.5% of all postings mentioning data quality controls).

+What jobs require data quality controls?

According to the Skillenai jobs index over the 90 days ending 2026-10-09, among roles with at least 20 postings, the highest shares mentioning data quality controls are Data Product Owner (15.8% of that role’s postings mention data quality controls), Platform Engineering Manager (9.3% of that role’s postings mention data quality controls), Quantitative Finance Analyst (4.3% of that role’s postings mention data quality controls).

+What skills are commonly paired with data quality controls?

Across job postings indexed by Skillenai (90 days ending 2026-10-09), data quality controls most often appears alongside SQL, data governance, Python, data lineage, data pipelines.

+Where is data quality controls most in demand?

As of 2026-10-09, the metro areas posting the most jobs requiring data quality controls are Toronto, London, Chicago, Singapore, Bengaluru, according to the Skillenai jobs index.

+How can I keep up with new data quality controls content and jobs?

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

+Which skills come before and after data quality controls?

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 quality controls — last 90 days

Career paths around data quality controls

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before data quality controls

Before data quality controlsemployee engagement → data quality controls: 1 observed employer moves with this skill pairVBA → data quality controls: 1 observed employer moves with this skill pairreal-time notifications → data quality controls: 1 observed employer moves with this skill pairETL pipelines → data quality controls: 1 observed employer moves with this skill pairETL → data quality controls: 1 observed employer moves with this skill pairmentored work → data quality controls: 1 observed employer moves with this skill pairSPSS → data quality controls: 1 observed employer moves with this skill pairpython → data quality controls: 1 observed employer moves with this skill pairdata qualitycontrolsemployee engagement: 1 movesemployeeengagement1 movesVBA: 1 movesVBA1 movesreal-time notifications: 1 movesreal-timenotifications1 movesETL pipelines: 1 movesETL pipelines1 movesETL: 1 movesETL1 movesmentored work: 1 movesmentored work1 movesSPSS: 1 movesSPSS1 movespython: 1 movespython1 moves

Skills after data quality controls

After data quality controlsdata quality controls → testing: 1 observed employer moves with this skill pairdata quality controls → python: 1 observed employer moves with this skill pairdata quality controls → Apache Kafka: 1 observed employer moves with this skill pairdata quality controls → preprocessing techniques: 1 observed employer moves with this skill pairdata quality controls → excel xlookup: 1 observed employer moves with this skill pairdata quality controls → Power BI: 1 observed employer moves with this skill pairdata quality controls → sql: 1 observed employer moves with this skill pairdata quality controls → ANCOVA: 1 observed employer moves with this skill pairdata qualitycontrolstesting: 1 movestesting1 movespython: 1 movespython1 movesApache Kafka: 1 movesApache Kafka1 movespreprocessing techniques: 1 movespreprocessingtechniques1 movesexcel xlookup: 1 movesexcel xlookup1 movesPower BI: 1 movesPower BI1 movessql: 1 movessql1 movesANCOVA: 1 movesANCOVA1 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: employee engagement1
Before: VBA1
Before: real-time notifications1
Before: ETL pipelines1
Before: ETL1
Before: mentored work1
Before: SPSS1
Before: python1
After: testing1
After: python1
After: Apache Kafka1
After: preprocessing techniques1
After: excel xlookup1
After: Power BI1
After: sql1
After: ANCOVA1

Roles most likely to require data quality controls

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

RolePostings mentioning skill% of role postings mentioning skill
Data Product Owner615.8%
Platform Engineering Manager49.3%
Quantitative Finance Analyst14.3%
Data Engineering Lead22.9%
Data Analytics Consultant12.6%
Data Platform Architect12.6%
AI Specialist22.5%
AI Automation Engineer22.4%
Business Systems Engineer12.2%
Data Product Manager22.2%

Roles with the most data quality controls postings

RolePostings mentioning skillShare of skill postings
Data Engineer4020.5%
Data Analyst115.6%
Business Analyst73.6%
Data Product Owner63.1%
Analytics Engineer52.6%
Data Architect52.6%
Product Manager52.6%
Software Engineer52.6%
Platform Engineering Manager42.1%
Data Platform Engineer31.5%

Top companies posting jobs requiring data quality controls

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

Top companies posting jobs requiring data quality controls
CompanyPostings · 90 days
Ghr8
Mastercard4
Barclays4
Cclfg4
Vanguard4
CIBC4
AbbVie4
Www.experis.com4
JPMorgan Chase & Co.4
Version 13

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 quality controls

NamePostingsShare
Toronto94.6%
London84.1%
Chicago73.6%
Singapore52.6%
Bengaluru42.1%
Hyderabad42.1%
New York City42.1%
Bethesda31.5%
Charlotte31.5%

Skills commonly paired with data quality controls

SQL (96)data governance (92)Python (72)data lineage (61)data pipelines (57)data modeling (56)ETL (43)data validation (36)ELT (31)metadata management (31)

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-09. 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 quality controls by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data quality controls postings by all data quality controls 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 2,616 identified employers and covers 70% of earlier and 72% of latest indexed postings. Windows: 2026-06-09 to 2026-09-07 and 2026-07-07 to 2026-10-05 (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
e1a6a4631a64f1e4
data_as_of
2026-10-09
window_days
90
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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