Data Engineer job postings: what employers ask for (2026)
This page reads every active posting whose normalized title is Data Engineer across the ten boards JobsPipe collects and reports what those employers ask for: the seniority they target, whether the role is remote, whether pay is disclosed, the skills named in the text, and the industries, countries and company sizes behind the postings.
11.3% of these postings are marked remote, 20.8% state a salary or range, the most common seniority label is senior at 24.1%. Postings with no seniority label are counted in the denominator, so the seniority shares do not sum to one.
Who the postings are aimed at
Seniority is read from the posting’s own label where one exists. Postings without a label stay in the denominator, so these shares describe how often each level is stated, not the full mix.
- Entry level5.5%
- Mid level4.6%
- Senior24.1%
- Lead or manager3.8%
- Executive0.7%
Skills named in the text
Each posting counts once per skill its text names, so the shares overlap. The API filter skills_or returns the postings behind any bar.
- data-engineering88.6%
- sql77.1%
- etl74.2%
- python73.0%
- data-governance46.8%
- aws43.9%
- azure40.1%
- ci/cd34.4%
- databricks34.1%
- communication31.0%
- data-modeling29.9%
- apache-spark29.5%
Functions employers are hiring for
- Data & Analytics57.1%
- Information Technology21.7%
- Engineering14.6%
- Engineering and Information Technology1.0%
- Consulting0.8%
- Strategy/Planning, Analyst, and Information Technology0.7%
- Other0.7%
Industries behind the postings
Industry is the employer’s ISIC division where it is known. The filter isic_division_or reproduces each row.
- Software and IT services18.8%
- Financial services5.9%
- Employment and staffing4.7%
- Retail trade3.5%
- Head offices and consulting2.2%
- Information services1.7%
- Legal and accounting1.3%
- Scientific R&D1.1%
Where the postings are
- United States30.2%
- India14.4%
- France10.8%
- Brazil9.3%
- Germany3.5%
- Mexico3.3%
- Singapore3.1%
- Canada2.9%
Company size
Employee count comes from the employer record where it is known; postings from companies without a known size are excluded from this cut.
- 1-50 employees3.1%
- 51-200 employees4.8%
- 201-1000 employees6.4%
- 1000+ employees25.9%
Employment type
- Full-time76.4%
- Contract4.4%
- Part-time0.6%
FAQ
What share of data engineer job postings are remote?+
11.3% of the active postings on this page carry a remote flag. The flag is read from the posting itself, so hybrid roles that never say remote are counted as on-site. Filter the API with remote set to true and the same scope to reproduce the figure.
How many data engineer postings disclose salary?+
20.8% state a salary or a range in the posting text or structured fields. Disclosure varies more by board and by jurisdiction than by role, so compare the figure with the board-level shares on the sources pages before reading it as a market signal.
Which skills appear most in data engineer postings?+
The most named skills are data-engineering (88.6%), sql (77.1%), etl (74.2%), python (73.0%), data-governance (46.8%). Skills are extracted from the posting text against a curated lexicon, and a posting counts once per skill it names, so the shares overlap.
Which industries hire the most data engineer roles?+
By ISIC division, the largest shares are Software and IT services (18.8%), Financial services (5.9%), Employment and staffing (4.7%). Industry is resolved from the employer's classification where known, and postings without a classification are excluded from this cut.
Which functions are employers in Data Engineer hiring for?+
The largest functions by share of postings are Data & Analytics (57.1%), Information Technology (21.7%), Engineering (14.6%), Engineering and Information Technology (1.0%). Function is assigned from the normalized title and the posting text.
Where do these numbers come from?+
From JobsPipe's live index of postings on the ten boards it collects, deduplicated by posting id and counted on 2026-09-09. Only shares are published; the underlying counts stay private. Every figure can be reproduced against the JobsPipe API with the filters shown on this page.
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