Role Intelligence
Data Engineer
Analysis from 42 job postings — 0.8% of all scored jobs
42
Jobs Analyzed
0.8%
Demand Rate
$157K
Avg Salary
$155K
Median Salary
Skill Snapshot
Top Skills for Data Engineer
Based on 42 scored postings
What Does a Data Engineer Do?
Role overview based on 42 scored job postings.
A Data Engineer drives outcomes across Python, Data Engineering Experience, SQL and related areas. Based on 42 scored postings, this role requires a mix of technical and strategic skills at varying depth levels.
What employers are looking for:
- •Python at L4 — required in 31% of postings. Most roles expect independent execution, not just awareness.
- •Data Engineering Experience at L2 — required in 26% of postings. Foundational understanding with practical application expected.
- •SQL at L3 — required in 24% of postings. Employers want hands-on proficiency, not textbook knowledge.
Required Skills
Skills ranked by frequency across 42 postings. L-levels show the depth employers require.
Salary Insights
Compensation data from 8 postings with disclosed salary.
$157K
Average
$155K
Median
8
Jobs with salary data
Based on 8 postings with disclosed salary data, a small sample. These figures will stabilize as more Data Engineer listings enter the pipeline. Average sits at $157K, median at $155K.
Common Skill Gaps
Skills where applicants most frequently fall short of the required depth.
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.
Score My Resume →Top Hiring Companies
Companies with the most active Data Engineer postings in the scored dataset.
Browse Data Engineer Jobs
See live listings and check your fit score before you apply.
View 42+ ListingsFrequently Asked Questions
The top skills for Data Engineer roles are Python, Data Engineering Experience, SQL, Bachelor's Degree, Data Engineering Exp.. Most positions require these at L4 depth or higher, meaning employers want candidates who can work independently, not just have surface awareness.
Based on 8 job postings with disclosed salary data, the average Data Engineer salary is $157K with a median of $155K. Actual compensation varies by location, company size, and experience level.
Data Engineer roles represent 0.8% of all scored jobs on ShouldApply. Common skill gaps include Databricks, Data Engineering Experience, Data Quality/Observability, suggesting many applicants struggle with these areas.
Top hiring companies for Data Engineer roles include DLA Piper, Agoda, Walmart, Yoh, A Day & Zimmermann Company, Qualcomm. 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 42 active postings analyzed and a 0.8% demand rate, Data Engineer roles show emerging market demand. Compensation is competitive, with median salaries above $100K.
See how you match Data Engineer roles
ShouldApply scores each job against your profile and flags gaps before you apply.
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