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Free Data Engineer Assessment

Skill Gap Analysis for Data Engineers.

Designs, builds, and maintains data pipelines and infrastructure for analytics and machine learning. Responsible for data ingestion, transformation, storage, and ensuring data quality and accessibility across the organization.

Short answer: Skilture's Data Engineer profile lists 29 skills, 6 of them core: Python, SQL, Apache Spark, ETL, Snowflake and 1 more.

Source: Skilture's Data Engineer role profile · Updated

Free · No signup · Results in 60 seconds

Data Engineer snapshot29 skills mapped
Median salary
$139,500/yr
Typical range
$86,240 – $204,00010th–90th percentile
Core must-haves
6 of 29

Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics) (SOC 15-1243.00, 2025) · US figures in US dollars; we have no sourced Indian figure yet.

The full list

The 29 skills employers expect from Data Engineers

Grouped by how much each one counts in the score. Tap any skill to see why it matters.

Core skills

Must-haves for this role: half of the score

Important skills

Expected in most candidates: 35% of the score

Nice-to-have skills

Differentiators: the last 15% of the score
Check yourself

How many of these do you actually have?

Tick the skills you can honestly claim

Core · must-have
Important
0 of 12 selected

Your quick readiness estimate

0of 100

Select the skills you have for Data Engineer and watch your estimate update live.

Get your real Resume Score

Works in your browser: no upload, no account.

Why it matters

Why assess your Data Engineer skills?

A score is only useful if it tells you what to do next.

Gaps by name

Each missing skill is named and marked core, important or optional for Data Engineer, so you know what the role expects that your resume does not show.

Skills you never wrote down

The score reads what your resume says. A skill you have but never mention counts as missing, to a recruiter as much as to us.

What to learn first

Core skills carry half the score, so closing one core gap moves it further than closing an optional one.

Compare

Deciding between Data Engineer and something else?

See how the two roles differ, skill by skill.

FAQ

Data Engineer skill gap: common questions

What skills do employers look for in a Data Engineer?
The core skills employers expect from Data Engineer candidates are Python, SQL, Apache Spark, ETL, Snowflake, AWS. Skilture tracks 29 competencies for this role, each marked core, important or optional.
How do I know if my skills are enough for a Data Engineer job?
Upload your resume (or enter your skills) at Skilture and pick "Data Engineer" as your target role. In about 60 seconds you get a Skill Score out of 100, the exact skills you're missing, and a checklist to close the gaps — no signup required.
Is the Data Engineer skill gap analysis free?
Yes. Skilture's Resume Score and gap analysis are free for job seekers and work without an account. Your resume is kept on our servers so you can re-score it and track progress, and it is never sold or shared with recruiters.