Remote positions
Browse remote Airflow positions at companies running production ML pipelines — DAG engineering, workflow orchestration, and MLOps automation roles.
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Posted 3 months ago
Applications closedQuelva Works
Remote
Chicago, United States (UTC-6)
Every purchase requisition at our client companies still routes through three to five manual approval steps, most of which could be automated with the...
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Posted 3 months ago
Applications closedRelvix Data
Hybrid
New York, United States (UTC-5)
We serve data teams at financial institutions where every access request to sensitive data must be logged, justified, and approved through a formal wo...
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Posted 3 months ago
Applications closedNortex Solutions
Remote
Chicago, United States (UTC-6)
Document routing and exception handling already form the backbone of our claims and invoice automation product, but we've never had a dedicated model...
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Posted 3 months ago
Applications closedLyrex Data
Remote
Chicago, United States (UTC-6)
We just rolled out our data mesh platform to two new business units, and data access requests have tripled overnight with no automated way to route or...
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Posted 3 months ago
Applications closedElara Intelligence
Remote
London, United Kingdom (UTC+0)
Our clients include enterprises that need to prove, in writing, exactly which datasets trained the models they deploy — increasingly a hard requiremen...
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Posted 3 months ago
Applications closedInfera Cloud
Remote
Chicago, United States (UTC-6)
Airflow DAGs and streaming jobs are the core of what we build, and right now understanding what any given pipeline actually does means reading raw cod...
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Posted 3 months ago
Applications closedRelvix Data
Remote
Denver, United States (UTC-7)
We're building the next generation of enterprise data governance tooling, and one gap keeps coming up in client reviews: nobody can say with confidenc...
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Posted 3 months ago
Applications closedMivex Cloud
Remote
Los Angeles, United States (UTC-8)
You'll be the fourth infrastructure engineer on a team of 14, working alongside platform, ML, and SRE. We already run large-scale model training and i...
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Posted 3 months ago
Applications closedAltrix Systems
Remote
Paris, France (UTC+1)
Enterprise search results quietly get worse over time as user behavior shifts, and right now we have no systematic way to catch that decline before cu...
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Posted 3 months ago
Applications closedQuelva Works
Remote
New York, United States (UTC-5)
Our vendor onboarding process still takes three weeks and six people to complete. Procurement, legal, and finance all touch the same documents in sequ...
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Role guide
Apache Airflow is the most widely deployed ML pipeline orchestration tool. Remote Airflow jobs involve designing maintainable DAGs, integrating Airflow with cloud data infrastructure, and ensuring ML training pipelines run reliably. Engineers with Airflow experience plus ML system knowledge are in consistent demand.
What Airflow roles are available remotely?
Primarily data engineering and MLOps roles where Airflow is part of the orchestration stack. Pure "Airflow engineer" titles are rarer — most roles combine Airflow with Python, cloud platforms, and data tools like dbt or Spark.
Do remote Airflow jobs require Kubernetes experience?
Increasingly yes. KubernetesExecutor and Astronomer deployments are common at scale. Smaller companies may use CeleryExecutor or LocalExecutor — check individual job listings for infrastructure specifics.
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