data processing pipelines jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, data processing pipelines appears in 173 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning data processing pipelines, with demand share down 15.4% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want data processing pipelines?
Upload your resume and Skillenai will show which roles your data processing pipelines experience fits, which skills you already cover, and what is missing.
Frequently asked questions about data processing pipelines
+Is data processing pipelines in demand in 2026?
Yes. data processing pipelines appears in 173 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Software Engineer accounts for the most postings mentioning data processing pipelines (34.1% of all postings mentioning data processing pipelines).
+What jobs require data processing pipelines?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning data processing pipelines are Data Scientist Intern (5.7% of that role’s postings mention data processing pipelines), Machine Learning Engineering Manager (3.3% of that role’s postings mention data processing pipelines), Software Engineer (Backend) (3.2% of that role’s postings mention data processing pipelines).
+What skills are commonly paired with data processing pipelines?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), data processing pipelines most often appears alongside Python, Machine Learning, AWS, SQL, Distributed systems.
+Where is data processing pipelines most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring data processing pipelines are San Francisco, Paris, Mountain View, New York City, Atlanta, according to the Skillenai jobs index.
+How can I keep up with new data processing pipelines content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data processing pipelines alongside the jobs index. You can subscribe to a daily email digest of new data processing pipelines content from your Skillenai account.
+Which skills come before and after data processing pipelines?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring data processing pipelines — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around data processing pipelines
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data processing pipelines
Skills after data processing pipelines
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: python | 4 |
| Before: a/b testing | 2 |
| Before: sql | 2 |
| Before: pandas | 2 |
| Before: Data Visualization | 2 |
| Before: Transportation networks | 1 |
| Before: scikit-learn | 1 |
| Before: Data access | 1 |
| After: React | 2 |
| After: docker | 2 |
| After: python | 2 |
| After: AWS | 2 |
| After: Data ingestion | 1 |
| After: Redux | 1 |
| After: Apache Kafka | 1 |
| After: reliability | 1 |
Roles most likely to require data processing pipelines
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Data Scientist Intern | 5 | 5.7% |
| Machine Learning Engineering Manager | 2 | 3.3% |
| Software Engineer (Backend) | 2 | 3.2% |
| Data Infrastructure Engineer | 1 | 2.9% |
| Research Engineer | 9 | 1.3% |
| Quantitative Analyst | 2 | 1.1% |
| Software Engineer Intern | 3 | 1.1% |
| Software Engineering Director | 1 | 1.0% |
| Python Developer | 1 | 0.7% |
| Principal Engineer | 1 | 0.6% |
Roles with the most data processing pipelines postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 59 | 34.1% |
| Data Engineer | 12 | 6.9% |
| Data Scientist | 11 | 6.4% |
| Machine Learning Engineer | 11 | 6.4% |
| Research Engineer | 9 | 5.2% |
| Backend Engineer | 8 | 4.6% |
| ML Engineer | 6 | 3.5% |
| Data Scientist Intern | 5 | 2.9% |
| AI Engineer | 3 | 1.7% |
| Forward Deployed Engineer | 3 | 1.7% |
Top companies posting jobs requiring data processing pipelines
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Shift Technology | 13 |
| Waymo | 8 |
| ClickHouse | 7 |
| CLERA | 4 |
| Wikimedia Foundation | 4 |
| 4 | |
| Sigma Software | 3 |
| 2 | |
| Torcrobotics | 2 |
| Truelogic | 2 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for data processing pipelines
| Name | Postings | Share |
|---|---|---|
| San Francisco | 11 | 6.4% |
| Paris | 8 | 4.6% |
| Mountain View | 5 | 2.9% |
| New York City | 5 | 2.9% |
| Atlanta | 4 | 2.3% |
| San Jose | 4 | 2.3% |
| Singapore | 4 | 2.3% |
| Toronto | 4 | 2.3% |
| Warsaw | 4 | 2.3% |
Skills commonly paired with data processing pipelines
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning data processing pipelines by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data processing pipelines postings by all data processing pipelines postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- eace873cf5a7dba9
- data_as_of
- 2026-10-29
- window_days
- 90