AI skill
Apache Airflow jobs
2,297 open AI roles using Apache Airflow across the US and Europe.
As of 2026-06-11, ML/AI Work tracks 2,297 active AI roles using Apache Airflow across the US and Europe; the median advertised salary is $146,500–$265,100/yr across 1,816 roles that disclose pay (ML/AI Work, dataset v2026.06).
Market snapshot
Top employers hiring: Deloitte (1158), Scribd, Inc. (88), Accenture (73), Apple (37), Socure (21), Peraton (19)
n=1,816 · Feb 2021 – Jun 2026 · as of 2026-06-11 · v2026.06 · methodology ↗
Latest Apache Airflow jobs
View all →Data Scientist, Behavior Evaluation
Zoox · Boston, US
Data Scientist, Behavior Evaluation
Zoox · Oakland, US
Cloud Engineer with a passion for Data Engineering and AI-Data enablers | SEB, Solna
SEB | Skandinaviska Enskilda Banken · Uppsala, SE
Backend Software Engineer (AR, Spatial & AI-powered Experiences)
IKEA · The Hague, NL
Senior Data Scientist
Samba TV · The Hague, NL
Senior Data Engineer – ML Platform
Sovendus GmbH · Remote · Frankfurt
Data Scientist III
OpenX · Remote · New York
AI Software Engineer, Senior
Cayuse Holdings · Austin, US
Cleared AI/ML Engineer
Accenture Federal Services · Tampa, US
Senior AI/ML Software Engineer
Peraton · Baltimore, US
Distinguished Machine Learning Engineer
GEICO · Baltimore, US
Distinguished Machine Learning Engineer
GEICO · Seattle, US
Distinguished Machine Learning Engineer
GEICO · New York, US
Senior Data Engineer (Requiring GCP)
CVS Health · Chicago, US
Principal AI Engineer
DriveWealth · Chicago, US
Senior Data Engineer (Requiring GCP)
CVS Health · Dallas, US
Senior Data Engineer (Requiring GCP)
CVS Health · Phoenix, US
MLOps ENGINEER
DonTouch SA · Lugano, CH
Senior Credit Risk Data Scientist (m/f/d)
Pliant · Remote · London
Knowledge Engineer / Semantic Expert for AI
Accenture · Newark, US
Specializations using Apache Airflow
Apache Airflow jobs by country
Cite thisn=2,297 · as of 2026-06-11 · v2026.06
ML/AI Work, "AI jobs using Apache Airflow", dataset v2026.06, n=2297, as of 2026-06-11. https://mlai.work/s/airflow