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2026 skill intelligence

Apache Airflow

Which roles require it and how much it matters — mapped across real job-role profiles.

Short answer: Apache Airflow is asked for by 1 of the 103 job-role profiles Skilture maps — only by Data Engineer.

Source: Skilture's 103 job-role profiles · Updated

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Apache Airflow snapshot103 roles mapped
Roles that list it
1 of 103
Core requirement
Supportingcomplementary skill
Skill type
Technicalhard, teachable
Where it is asked for

Who hires for Apache Airflow?

The roles in Skilture's catalogue that list Apache Airflow, and how heavily each one weights it.

Targeting one of these roles? Grab the ATS resume keywords:

In the interview

How interviewers test Apache Airflow

Real questions from Skilture's interview banks, with what the interviewer is listening for.

  1. Data Engineer · advanced

    How would you orchestrate dependent jobs with Airflow so a failure does not corrupt downstream data?

    Listen for: Strong answers use DAG dependencies, retries, idempotent tasks, and stopping downstream on upstream failure. Fire-and-forget schedules with no dependency handling are a red flag.

What it pays · United States

What roles that use Apache Airflow pay in the US

Annual wages in US dollars for the roles above: median, and the 10th–90th percentile range.

RoleMedianRange
Data Engineer$139,500$86,240 – $204,000

United States, USD. Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics), 2025; each median links to its occupation. India (INR): no sourced figure for these roles yet, so none is shown.

Learn next

Skills that pair with Apache Airflow

Employers hiring for Apache Airflow most often ask for these alongside it.

FAQ

Apache Airflow: common questions

Is Apache Airflow worth learning in 2026?
Apache Airflow is listed in 1 of the 103 job-role profiles Skilture maps. Explore the roles above to see where it matters most, then run a free skill gap analysis to see if you already have it.
Which jobs require Apache Airflow?
Roles that ask for Apache Airflow include Data Engineer. You can check how your own skills match any of these roles with Skilture's free skill gap analysis — no signup required.
How do interviewers test Apache Airflow?
A typical question, from Data Engineer interviews: "How would you orchestrate dependent jobs with Airflow so a failure does not corrupt downstream data?" What the interviewer listens for: Strong answers use DAG dependencies, retries, idempotent tasks, and stopping downstream on upstream failure. Fire-and-forget schedules with no dependency handling are a red flag.

Is Apache Airflow on your resume?

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