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

As of 2026-09-28, data ingestion appears in 1,745 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning data ingestion, with demand down 50% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
1,745
Demand vs prior month
down 50% vs the prior 4 weeks
Top role · 17.1% of skill postings
Top hiring metro
New York City

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Frequently asked questions about data ingestion

+Is data ingestion in demand in 2026?

Yes. data ingestion appears in 1,745 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 50% vs the prior 4 weeks. Data Engineer accounts for the most postings mentioning data ingestion (17.1% of all postings mentioning data ingestion).

+What jobs require data ingestion?

According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning data ingestion are Software Development Test Engineer (25.8% of that role’s postings mention data ingestion), Data Infrastructure Engineer (13.8% of that role’s postings mention data ingestion), AI Data Engineer (13.5% of that role’s postings mention data ingestion).

+What skills are commonly paired with data ingestion?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), data ingestion most often appears alongside Python, SQL, data pipelines, Data transformation, data modeling.

+Where is data ingestion most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring data ingestion are New York City, San Francisco, London, Bengaluru, Boston, according to the Skillenai jobs index.

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

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

Weekly job postings requiring data ingestion — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Roles most likely to require data ingestion

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

RolePostings mentioning skill% of role postings mentioning skill
Software Development Test Engineer825.8%
Data Infrastructure Engineer413.8%
AI Data Engineer1013.5%
Applied Machine Learning Engineer312.5%
Analytics Engineering Director210.0%
Platform Engineering Director210.0%
Business Intelligence Lead39.1%
AI Lead29.1%
Data Engineering Manager208.8%
Data Engineering Lead68.3%

Roles with the most data ingestion postings

RolePostings mentioning skillShare of skill postings
Data Engineer29817.1%
Software Engineer27916.0%
Product Manager925.3%
Forward Deployed Engineer704.0%
Data Architect412.3%
Data Scientist362.1%
Data Analyst352.0%
Engineering Manager341.9%
Machine Learning Engineer301.7%
Solutions Architect291.7%

Top metros hiring for data ingestion

NamePostingsShare
New York City955.4%
San Francisco764.4%
London492.8%
Bengaluru432.5%
Boston191.1%
Chicago191.1%
Sunnyvale191.1%
Pune181.0%
Mountain View160.9%

Skills commonly paired with data ingestion

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. 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 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 postings by all data ingestion 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).

source
Skillenai jobs index, deduplicated daily
entity_id
1dca74cfe0a1ef58
data_as_of
2026-09-28
window_days
90
Hiring engineers who use data ingestion?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index