Role Intelligence
Data Engineer
Analysis from 17 job postings — 0.5% of all scored jobs
17
Jobs Analyzed
0.5%
Demand Rate
$154K
Avg Salary
$151K
Median Salary
Skill Snapshot
Top Skills for Data Engineer
Based on 17 scored postings
What Does a Data Engineer Do?
Role overview based on 17 scored job postings.
A Data Engineer drives outcomes across Python, SQL, Data Modeling and related areas. Based on 17 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 47% of postings. Employers want hands-on proficiency, not textbook knowledge.
- •SQL at L4 — required in 35% of postings. Employers want hands-on proficiency, not textbook knowledge.
- •Data Modeling at L3 — required in 29% of postings. Employers want hands-on proficiency, not textbook knowledge.
Required Skills
Skills ranked by frequency across 17 postings. L-levels show the depth employers require.
Salary Insights
Compensation data from 9 postings with disclosed salary.
$154K
Average
$151K
Median
9
Jobs with salary data
Based on 9 postings with disclosed salary data, a small sample. These figures will stabilize as more Data Engineer listings enter the pipeline. Average sits at $154K, median at $151K.
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 17+ ListingsFrequently Asked Questions
The top skills for Data Engineer roles are Python, SQL, Data Modeling, Data Engineering Experience, Data Engineering. Most positions require these at L3 depth or higher, meaning employers want candidates who can work independently, not just have surface awareness.
Based on 9 job postings with disclosed salary data, the average Data Engineer salary is $154K with a median of $151K. Actual compensation varies by location, company size, and experience level.
Data Engineer roles represent 0.5% of all scored jobs on ShouldApply. Common skill gaps include Data Engineering, suggesting many applicants struggle with these areas.
Top hiring companies for Data Engineer roles include Walmart, Yoh, A Day & Zimmermann Company, 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 17 active postings analyzed and a 0.5% 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.
Analyze Your Fit FreeAll Roles · Skills · Companies · Browse Jobs