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 4 months ago
Applications closedWolvex Cloud
Remote
Berlin, Germany (UTC+1)
GDPR compliance is mostly an engineering problem dressed as a legal one. The right to erasure, data portability, consent management, and purpose limit...
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Posted 4 months ago
Applications closedUnvix Works
Remote
Chicago, United States (UTC-6)
Data pipelines break at 3 AM and nobody finds out until a stakeholder notices wrong numbers in a dashboard the next morning. Data reliability engineer...
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Posted 4 months ago
Applications closedQuelva Works
Remote
Berlin, Germany (UTC+1)
Most organizations have no idea how their processes actually run. They know how they're supposed to run — that's in the documentation. But the real pr...
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Posted 4 months ago
Applications closedRelvix Data
Remote
Chicago, United States (UTC-6)
Data contracts are the API specification for your data infrastructure — they define what a dataset should contain, what types the fields must be, what...
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Posted 4 months ago
Applications closedNortex Solutions
Remote
Chicago, United States (UTC-6)
Document processing pipelines fail in boring but expensive ways. A vendor sends a PDF with rotated pages. A claim form arrives as a photo taken in low...
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Posted 5 months ago
Applications closedXivio Solutions
Remote
New York, United States (UTC-5)
Thirteen models in production. Four different deployment patterns. Zero standardization. That's where we are today, and that's exactly the problem you...
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Posted 5 months ago
Applications closedFarion Data
Remote
Chicago, United States (UTC-6)
We already have the data. Three years of clickstream events, purchase histories, and customer support interactions from our e-commerce platform — all...
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Posted 5 months ago
Applications closedRelvix Data
Remote
New York, United States (UTC-5)
Bad data is the silent killer of ML models. A corrupted data feed that introduces null values, a schema change that shifts column meanings, or a third...
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Posted 5 months ago
Applications closedInfera Cloud
Remote
Berlin, Germany (UTC+1)
Data pipelines break silently when upstream schemas change. A column gets renamed, a data type shifts from integer to string, a new nullable field app...
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Posted 5 months ago
Applications closedRolvex Solutions
Remote
London, United Kingdom (UTC+0)
Our ML platform runs 20 models for internal teams, and the person who built it is now our VP of Engineering. She needs someone to maintain what she bu...
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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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