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 closedUnvix Works
Remote
Timezone not specified
Three external data vendors feed our core pipelines, and when one of them misses their delivery SLA, we usually find out from a downstream team compla...
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Posted 3 months ago
Applications closedVelmox Data
Remote
Timezone not specified
Twelve teams pull from the same feature store, and finance has no way to tell which team's usage is actually driving the compute bill. This role build...
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Posted 3 months ago
Applications closedOntix Intelligence
On-site
Chicago, United States (UTC-6)
We run over 600 inspection cameras across a dozen facilities, and a camera drifting out of calibration silently degrades every defect model that relie...
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Posted 3 months ago
Applications closedNavio Tech
Remote
New York, United States (UTC-5)
You'll be the second infra engineer on a team of six, working directly with the API platform lead. We already track which endpoints exist, but we have...
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Posted 3 months ago
Applications closedInfera Cloud
Remote
Timezone not specified
You'll be the fourth data engineer on a team of eleven, working directly with the on-call rotation lead. We already have solid pipeline observability,...
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Posted 3 months ago
Applications closedEvorra Systems
On-site
New York, United States (UTC-5)
We're building the tool that tells ops teams which planned maintenance windows are actually risky before they happen. Our problem is that half of our...
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Posted 3 months ago
Applications closedEvorra Systems
Remote
Chicago, United States (UTC-6)
Kubernetes, Airflow, and Docker are the core of what we build. If you enjoy making other engineers' models actually run reliably in production, this r...
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Posted 3 months ago
Applications closedFelvix Tech
Hybrid
Berlin, Germany (UTC+1)
We don't care where you work from most days. We care about output, clear communication, and ownership. Our team of policy analysts and modelers depend...
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Posted 3 months ago
Applications closedKolvex Cloud
Remote
Chicago, United States (UTC-6)
Have you ever wanted to build the internal platform that other ML engineers actually enjoy using? Our clients include finance teams at large enterpris...
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Posted 3 months ago
Applications closedHoltix Solutions
Remote
Los Angeles, United States (UTC-8)
You'll be the fourth engineer on a data team of nine, working closely with the people who built our document extraction pipelines from scratch. We don...
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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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