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 1 month ago
Applications closedRemote
Chicago, United States (UTC-6)
Our model snapshot tests take longer to run than the training jobs they're supposed to catch bugs in. We're looking for someone who can rebuild the sn...
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Posted 1 month ago
Applications closedRemote
Seoul, South Korea (UTC+9)
GPU cluster provisioning at our scale still involves a platform engineer manually approving capacity requests through a Slack thread. That workflow br...
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Posted 1 month ago
Applications closedRemote
Kolkata, India (UTC+5:30)
Our test suite for model releases still takes a human two full days to run and interpret manually before every deployment. That gap is exactly what th...
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Posted 1 month ago
Applications closedRemote
UTC (UTC+0)
We've already built solid extraction models for invoices and receipts. What's missing is the automation layer that routes extracted data into the righ...
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Posted 1 month ago
Applications closedRemote
Singapore, Singapore (UTC+8)
We just closed a wave of new enterprise contracts and our manual model deployment process is starting to buckle under the volume. We need a hands-on e...
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Posted 1 month ago
Applications closedRemote
UTC (UTC+0)
You'll be the third person to touch our data platform's cost visibility, working directly with the two engineers who built our Airflow orchestration l...
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Posted 1 month ago
Applications closedRemote
Los Angeles, United States (UTC-8)
Our data pipelines are growing faster than our team, and every new dataset that ships without a clear quality bar becomes tomorrow's incident. We're l...
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Posted 1 month ago
Applications closedRemote
New York, United States (UTC-5)
Twelve people make up the automation team you're about to join, and the third seat is still open, working directly with the supply chain analytics gro...
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We serve over 200 enterprise clients who depend on our compliance monitoring platform staying accurate in real time. Our data engineering team is smal...
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Posted 1 month ago
Applications closedRemote
Chicago, United States (UTC-6)
Our mission is zero-surprise deployments for every model our clients push to production. Docker, Kubernetes, MLflow, and Airflow are the core of what...
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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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