Role Intelligence

Data Engineer

Analysis from 10 job postings 0.4% of all scored jobs

10

Jobs Analyzed

0.4%

Demand Rate

$161K

Avg Salary

$170K

Median Salary

Skill Snapshot

Top Skills for Data Engineer

Based on 10 scored postings

L1L2L3L4L5

What Does a Data Engineer Do?

Role overview based on 10 scored job postings.

A Data Engineer drives outcomes across Python, Data Engineering Experience, Data Modeling and related areas. Based on 10 scored postings, this role requires a mix of technical and strategic skills at varying depth levels.

What employers are looking for:

  • Python at L3 required in 40% of postings. Foundational understanding with practical application expected.
  • Data Engineering Experience at L3 required in 30% of postings. Foundational understanding with practical application expected.
  • Data Modeling at L3 required in 30% of postings. Foundational understanding with practical application expected.
Most common gaps: Data Engineering Experience (33% gap rate). If these apply to you, address them directly in your cover letter.

Required Skills

Skills ranked by frequency across 10 postings. L-levels show the depth employers require.

Based on 10 postings. More data will refine these figures as new Data Engineer jobs enter the pipeline.
L1 AwarenessL2 BasicL3 IntermediateL4 AdvancedL5 Expert
PythonTop 3
40%

Salary Insights

Compensation data from 5 postings with disclosed salary.

$161K

Average

$170K

Median

5

Jobs with salary data

Based on 5 postings with disclosed salary data, a small sample. These figures will stabilize as more Data Engineer listings enter the pipeline. Average sits at $161K, median at $170K.

Common Skill Gaps

Skills where applicants most frequently fall short of the required depth.

Based on 10 postings. More data will refine these figures as new Data Engineer jobs enter the pipeline.
Python
25% gap

A gap doesn't mean disqualified. It means you need to address it directly. ShouldApply scores your resume against the actual depth requirements and shows exactly where you fall short, before you apply.

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Top Hiring Companies

Companies with the most active Data Engineer postings in the scored dataset.

Browse Data Engineer Jobs

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Frequently Asked Questions

The top skills for Data Engineer roles are Python, Data Engineering Experience, Data Modeling. Most positions require these at L3 depth or higher, meaning employers want candidates who can work independently, not just have surface awareness.

Based on 5 job postings with disclosed salary data, the average Data Engineer salary is $161K with a median of $170K. Actual compensation varies by location, company size, and experience level.

Data Engineer roles represent 0.4% of all scored jobs on ShouldApply. Common skill gaps include Data Engineering Experience, suggesting many applicants struggle with these areas.

Top hiring companies for Data Engineer roles include Andiamo, Flexionis, Apex Systems. These companies collectively account for a significant portion of active listings.

ShouldApply rates every skill requirement on a 1-5 depth scale: L1 (Awareness) means you can discuss the concept, L2 (Basic) means simple tasks, L3 (Intermediate) means independent work, L4 (Advanced) means leading and optimizing, and L5 (Expert) means architecting solutions. This goes beyond keyword matching to measure actual proficiency fit.

With 10 active postings analyzed and a 0.4% demand rate, Data Engineer roles show emerging market demand. Compensation is competitive, with median salaries above $100K.

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