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 closedWevio Systems
Remote
Los Angeles, United States (UTC-8)
Snowflake, dbt-style transforms, and natural language querying are the three pillars of what we ship. Our platform lets non-technical teams ask questi...
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Posted 3 months ago
Applications closedUlvex Systems
Remote
Amsterdam, Netherlands (UTC+1)
Our mission is to make sure nobody gets paged for a capacity problem we could have predicted. This role sits inside that mission directly: you'll buil...
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Posted 3 months ago
Applications closedJoltura Labs
Remote
Toronto, Canada (UTC-5)
Our mission here is simple: catch a broken build in minutes, not after a two-hour full suite run. You'll join a squad of four working on test infrastr...
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Posted 3 months ago
Applications closedGravex Cloud
Remote
London, United Kingdom (UTC+0)
Our model registry and feature store already track what's been trained and what data it used. What's missing is a structured approval gate before a mo...
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Posted 4 months ago
Applications closedUnvix Works
Remote
Chicago, United States (UTC-6)
Unvix Works builds modern data pipeline infrastructure for enterprises migrating off legacy ETL tools. One of the messiest parts of any migration is r...
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Posted 4 months ago
Applications closedVelmox Data
Remote
New York, United States (UTC-5)
What we already have: a production feature store serving 200+ features across 15 ML models, built on a custom internal system that's become a maintena...
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Posted 4 months ago
Applications closedXivio Solutions
Remote
Los Angeles, United States (UTC-8)
Xivio Solutions manages GPU cluster infrastructure for enterprise ML teams, and one of the most common questions our clients ask is: which team, produ...
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Posted 4 months ago
Applications closedCovex Cloud
Remote
Los Angeles, United States (UTC-8)
Docker, Kubernetes, and container image registries are the foundation of what Covex Cloud manages for ML platform clients. We're building an AI-assist...
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Posted 4 months ago
Applications closedDelvio Solutions
Remote
New York, United States (UTC-5)
Delvio Solutions serves regulatory compliance teams at banks, insurance companies, and asset managers. One of the most labor-intensive tasks those tea...
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Posted 4 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
What we already have: petabyte-scale data lakes, a mature batch pipeline stack, and strong ML models. What we're missing: a real-time event fabric tha...
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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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