Skill report · Data Engineering

Data Quality: demand in job postings

Data Quality is named in 9% of the 28,652 tech job postings Mettlespark read in the United States and Canada over the last 180 days (2,440 postings), most often for Data Engineer at 62%, Data Architect at 60% and Analytics Engineer at 54%. When a posting names it, 92% list it as required.

From 28,652 postings in the United States and Canada, April 23, 2026 to October 20, 2026. Updated October 20, 2026. How we count

Postings naming it
2,4409% of all postings
Required when named
92%rather than nice to have
Senior level or above
59%of the postings naming it
Time to learn
about 15 hoursfrom zero to job-ready, Mettlespark's estimate

Over time

Its share of postings has risen about 5.9 points since October 2023, comparing like with like, and the rise has sped up lately.

The roles that ask for it most

The share of each role's postings that name Data Quality.

Roles asking for Data Quality
Role
Data Engineer
Data Architect
Analytics Engineer
Business Intelligence Analyst
Data Analyst
Product Analyst
Data Scientist
MLOps Engineer

Often asked for alongside

The share of postings naming Data Quality that also name each.

Industries

Where the postings naming it come from.

  • Banking & Financial Services17%
  • Healthcare10%
  • Aerospace & Defense5%
  • Pharma & Biotech4%

Quick answers

Is Data Quality in demand?

Data Quality is named in 9% of tech job postings in the United States and Canada over the last 180 days, 2,440 postings, and required in 92% of those. Its share of postings has risen about 5.9 points since October 2023, comparing like with like, and the rise has sped up lately.

Which jobs ask for Data Quality?

Data Engineer, Data Architect, Analytics Engineer and Business Intelligence Analyst postings name it most often: 62% of Data Engineer postings, 60% of Data Architect postings, 54% of Analytics Engineer postings.

What skills go with Data Quality?

Postings that name Data Quality most often also name SQL, Python, ETL/ELT and Machine Learning.

How long does it take to learn Data Quality?

About 15 hours from zero to job-ready, by Mettlespark's estimate; less with the prerequisites already in hand.

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