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Data ingestion pipelines jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-21, Data ingestion pipelines appears in 214 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Data ingestion pipelines, with demand share down 8.1% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-21

Postings · last 90 days
214
Demand vs prior month
down 8.1% vs the prior 4 weeks
Top role · 24.3% of skill postings
Software Engineer
Top hiring metro
New York City

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Frequently asked questions about Data ingestion pipelines

+Is Data ingestion pipelines in demand in 2026?

Yes. Data ingestion pipelines appears in 214 job postings indexed by Skillenai over the 90 days ending 2026-10-21. Software Engineer accounts for the most postings mentioning Data ingestion pipelines (24.3% of all postings mentioning Data ingestion pipelines).

+What jobs require Data ingestion pipelines?

According to the Skillenai jobs index over the 90 days ending 2026-10-21, among roles with at least 20 postings, the highest shares mentioning Data ingestion pipelines are AI Engagement Manager (10.0% of that role’s postings mention Data ingestion pipelines), Security Operations Engineer (7.3% of that role’s postings mention Data ingestion pipelines), Security Solutions Architect (4.2% of that role’s postings mention Data ingestion pipelines).

+What skills are commonly paired with Data ingestion pipelines?

Across job postings indexed by Skillenai (90 days ending 2026-10-21), Data ingestion pipelines most often appears alongside Python, SQL, AWS, data modeling, ETL.

+Where is Data ingestion pipelines most in demand?

As of 2026-10-21, the metro areas posting the most jobs requiring Data ingestion pipelines are New York City, Bengaluru, San Francisco, Singapore, Paris, according to the Skillenai jobs index.

+How can I keep up with new Data ingestion pipelines content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Data ingestion pipelines alongside the jobs index. You can subscribe to a daily email digest of new Data ingestion pipelines content from your Skillenai account.

+Which skills come before and after Data ingestion 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 ingestion pipelines — last 90 days

Career paths around Data ingestion pipelines

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Data ingestion pipelines

Before Data ingestion pipelinesETL → Data ingestion pipelines: 3 observed employer moves with this skill pairpython → Data ingestion pipelines: 3 observed employer moves with this skill pairPower BI → Data ingestion pipelines: 3 observed employer moves with this skill pairsql → Data ingestion pipelines: 2 observed employer moves with this skill pairGit → Data ingestion pipelines: 2 observed employer moves with this skill pairPL/SQL → Data ingestion pipelines: 2 observed employer moves with this skill pairAWS → Data ingestion pipelines: 2 observed employer moves with this skill pairdata warehouse → Data ingestion pipelines: 2 observed employer moves with this skill pairDataingestionpipelinesETL: 3 movesETL3 movespython: 3 movespython3 movesPower BI: 3 movesPower BI3 movessql: 2 movessql2 movesGit: 2 movesGit2 movesPL/SQL: 2 movesPL/SQL2 movesAWS: 2 movesAWS2 movesdata warehouse: 2 movesdata warehouse2 moves

Skills after Data ingestion pipelines

After Data ingestion pipelinesData ingestion pipelines → Data Extraction: 3 observed employer moves with this skill pairData ingestion pipelines → GCP: 2 observed employer moves with this skill pairData ingestion pipelines → AWS: 2 observed employer moves with this skill pairData ingestion pipelines → data transformation: 2 observed employer moves with this skill pairData ingestion pipelines → sql: 2 observed employer moves with this skill pairData ingestion pipelines → data loading: 2 observed employer moves with this skill pairData ingestion pipelines → databricks: 2 observed employer moves with this skill pairData ingestion pipelines → python: 1 observed employer moves with this skill pairDataingestionpipelinesData Extraction: 3 movesData Extraction3 movesGCP: 2 movesGCP2 movesAWS: 2 movesAWS2 movesdata transformation: 2 movesdatatransformation2 movessql: 2 movessql2 movesdata loading: 2 movesdata loading2 movesdatabricks: 2 movesdatabricks2 movespython: 1 movespython1 moves
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.

Observed connections and move counts
ConnectionMoves
Before: ETL3
Before: python3
Before: Power BI3
Before: sql2
Before: Git2
Before: PL/SQL2
Before: AWS2
Before: data warehouse2
After: Data Extraction3
After: GCP2
After: AWS2
After: data transformation2
After: sql2
After: data loading2
After: databricks2
After: python1

Roles most likely to require Data ingestion pipelines

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
AI Engagement Manager210.0%
Security Operations Engineer47.3%
Security Solutions Architect14.2%
DevOps Platform Engineer14.0%
Data Engineering Lead23.6%
Data Analytics Specialist13.4%
Field CTO12.8%
Full Stack AI Engineer12.4%
Big Data Engineer12.3%
Data Platform Engineer61.9%

Roles with the most Data ingestion pipelines postings

RolePostings mentioning skillShare of skill postings
Software Engineer5224.3%
Data Engineer2310.7%
Solution Architect104.7%
Backend Engineer73.3%
Data Platform Engineer62.8%
Product Manager62.8%
Data Scientist52.3%
Full-Stack Engineer52.3%
AI Analytics Engineer41.9%
AI Engineer41.9%

Top companies posting jobs requiring Data ingestion pipelines

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring Data ingestion pipelines
CompanyPostings · 90 days
Cognite9
BeaconOS6
Grab6
Stubhub5
Pragmatike4
Grafana Labs4
Chainguard4
ServiceNow4
Shift Technology3
CrowdStrike3

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 ingestion pipelines

NamePostingsShare
New York City188.4%
Bengaluru83.7%
San Francisco83.7%
Singapore83.7%
Paris62.8%
San Carlos62.8%
Atlanta41.9%
Columbus31.4%
Hyderabad31.4%

Skills commonly paired with Data ingestion pipelines

Python (109)SQL (63)AWS (40)data modeling (39)ETL (33)Java (33)CI/CD (29)Azure (27)observability (26)PostgreSQL (22)

Explore related pages

How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-21. 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 ingestion 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 ingestion pipelines postings by all Data ingestion 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 2,610 identified employers and covers 72% of earlier and 73% of latest indexed postings. Windows: 2026-06-23 to 2026-09-21 and 2026-07-21 to 2026-10-19 (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
4d3232e2b5d264c2
data_as_of
2026-10-21
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index