Amazon Redshift jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, Amazon Redshift appears in 612 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning Amazon Redshift, with demand down 59% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
612
Demand vs prior month
down 59% vs the prior 4 weeks
Top role · 29.4% of skill postings
Top hiring metro
New York City

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Frequently asked questions about Amazon Redshift

+Is Amazon Redshift in demand in 2026?

Yes. Amazon Redshift appears in 612 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 59% vs the prior 4 weeks. Data Engineer accounts for the most postings mentioning Amazon Redshift (29.4% of all postings mentioning Amazon Redshift).

+What jobs require Amazon Redshift?

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 Amazon Redshift are Database Architect (11.1% of that role’s postings mention Amazon Redshift), Business Intelligence Engineer (10.8% of that role’s postings mention Amazon Redshift), Analytics Engineering Director (10.0% of that role’s postings mention Amazon Redshift).

+What skills are commonly paired with Amazon Redshift?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), Amazon Redshift most often appears alongside SQL, Python, Snowflake, AWS, ETL.

+Where is Amazon Redshift most in demand?

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

+How can I keep up with new Amazon Redshift content and jobs?

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

Weekly job postings requiring Amazon Redshift — last 90 days

Salary distribution

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

Roles most likely to require Amazon Redshift

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

RolePostings mentioning skill% of role postings mentioning skill
Database Architect311.1%
Business Intelligence Engineer810.8%
Analytics Engineering Director210.0%
Data Developer210.0%
BI Engineer48.7%
Lead Data Engineer68.2%
Cloud Data Engineer47.3%
Data Infrastructure Engineer26.9%
Senior Data Engineer25.6%
Deployment Engineer25.4%

Roles with the most Amazon Redshift postings

RolePostings mentioning skillShare of skill postings
Data Engineer18029.4%
Software Engineer599.6%
Analytics Engineer274.4%
Data Scientist274.4%
Data Analyst233.8%
Data Architect172.8%
Full Stack Engineer91.5%
Business Intelligence Engineer81.3%
Data Platform Engineer81.3%
Solutions Architect81.3%

Top metros hiring for Amazon Redshift

NamePostingsShare
New York City243.9%
London203.3%
Bengaluru172.8%
San Francisco132.1%
Barcelona101.6%
Berlin91.5%
Singapore91.5%
Gurugram81.3%
Hyderabad81.3%

Skills commonly paired with Amazon Redshift

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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 Amazon Redshift by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Amazon Redshift postings by all Amazon Redshift 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
3cd782f1a63c4fbf
data_as_of
2026-09-28
window_days
90
Hiring engineers who use Amazon Redshift?

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