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 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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Our research pipelines still involve too many manual handoffs between data collection and analysis. Fast-moving team. Big problem. We need someone who...
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Posted 1 month ago
Applications closedRemote
Berlin, Germany (UTC+1)
You'll be the second freelancer joining a compliance automation pod of 6, working alongside our existing regulatory filing analysts on a well-scoped c...
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Posted 1 month ago
Applications closedRemote
Denver, United States (UTC-7)
We just closed our Series A and are scaling fast, which means the number of teams pushing model updates every week has tripled — and so has the risk o...
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Posted 1 month ago
Applications closedRemote
Chicago, United States (UTC-6)
We're building the next generation of AI-powered developer tooling, and one gap keeps showing up in customer feedback: postmortems that get written an...
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Posted 2 months ago
Applications closedRemote
Los Angeles, United States (UTC-8)
We serve QA teams at companies who can't afford flaky test infrastructure to slow down their release cycles, and right now our own internal test envir...
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Posted 2 months ago
Applications closedRemote
Chicago, United States (UTC-6)
TensorFlow, computer vision, and Airflow are the backbone of every inspection line we support. If you know how to move a vision model from a notebook...
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We just closed our Series A and our serverless ML platform is onboarding new customers faster than our deployment tooling can comfortably handle. We n...
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Posted 2 months ago
Applications closedRemote
Chicago, United States (UTC-6)
As a fully async team spread across 9 time zones, we believe great engineers do their best work without someone watching over their shoulder. This rol...
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Posted 2 months ago
Applications closedRemote
New York, United States (UTC-5)
Our engineers lose hours every week to repetitive setup and review tasks that should be automated by now. We're looking for someone who's bothered eno...
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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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