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 closedLumio Systems
Remote
New York, United States (UTC-5)
Our clients deploy models in production and forget about them — until something goes wrong. Lumio Systems builds the monitoring layer that catches mod...
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Posted 4 months ago
Applications closedQuelva Works
Remote
Los Angeles, United States (UTC-8)
Quelva Works builds workflow automation tools used by enterprise operations teams in insurance, financial services, and healthcare. In these industrie...
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Posted 4 months ago
Applications closedRelvix Data
Remote
Chicago, United States (UTC-6)
Relvix Data's platform helps data teams catch problems in their pipelines before downstream consumers ever notice. We've built strong data lineage and...
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Posted 4 months ago
Applications closedFynix Studio
Hybrid
Los Angeles, United States (UTC-8)
Fynix Studio just closed a $22M Series B, and the mandate is clear: convert more trials into paying customers and keep them longer. One of our biggest...
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Posted 4 months ago
Applications closedUnvix Works
Remote
New York, United States (UTC-5)
A data platform team running 200 production pipelines often has no idea which pipelines are responsible for 80% of compute costs. Data pipeline cost a...
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Posted 4 months ago
Applications closedVelmox Data
Remote
Chicago, United States (UTC-6)
Online feature stores serve model inference in real time. When a feature goes stale — when the last successful update is 4 hours ago for a feature exp...
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Posted 4 months ago
Applications closedWolvex Cloud
Remote
Amsterdam, Netherlands (UTC+1)
Data retention policies specify how long different categories of data should be kept before deletion or archival. Under GDPR, CCPA, HIPAA, and various...
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Posted 4 months ago
Applications closedZaltex Data
Remote
Chicago, United States (UTC-6)
Understanding how pedestrians move through urban spaces — where they concentrate, when density peaks, what routes they prefer, and where flows create...
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Posted 4 months ago
Applications closedBolvex Solutions
Remote
Chicago, United States (UTC-6)
Medication non-adherence costs the US healthcare system $300B annually in preventable hospitalizations and disease progression. Patients who don't tak...
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Posted 4 months ago
Applications closedQuilvex Systems
Remote
New York, United States (UTC-5)
We're building an AI-native underwriting platform for specialty insurance lines. Our clients have already told us that premium leakage — the gap betwe...
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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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