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 closedOrvion Systems
Remote
New York, United States (UTC-5)
Cold chain failures cost the pharmaceutical industry $35 billion annually. A temperature excursion lasting 4 hours during a transcontinental shipment...
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Posted 4 months ago
Applications closedRelvix Data
Remote
New York, United States (UTC-5)
We have 400 million data assets in our catalog — tables, columns, models, dashboards, pipelines — and about 15% of them have meaningful metadata: desc...
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Posted 4 months ago
Applications closedMivex Cloud
Remote
Los Angeles, United States (UTC-8)
Our platform runs 14,000 ML training jobs per month across a Kubernetes cluster shared by 38 product teams. Every job burns GPU hours that cost real m...
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Posted 4 months ago
Applications closedLyrex Data
Remote
New York, United States (UTC-5)
Data teams build datasets, pipelines, and dashboards — but they rarely measure whether anyone actually uses them. A pipeline that runs daily and serve...
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Posted 4 months ago
Applications closedGravex Cloud
Remote
Chicago, United States (UTC-6)
A data scientist runs an experiment in January, gets a great result, and moves on to the next project. Six months later, a colleague tries to reproduc...
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Posted 4 months ago
Applications closedJaltrix Data
Remote
New York, United States (UTC-5)
Not all labeling tasks are equally hard, and not all annotators are equally accurate on all tasks. Matching the right annotator to the right task — an...
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Posted 4 months ago
Applications closedFelvix Tech
Remote
London, United Kingdom (UTC+0)
Regulatory sandboxes — formal programs where financial services and fintech companies can test AI products with limited regulatory oversight before fu...
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Posted 4 months ago
Applications closedDelvio Solutions
Remote
Chicago, United States (UTC-6)
SOC 2 audits require evidence collection from 60 to 200 different controls depending on scope. Most of that evidence — access logs, change management...
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Posted 4 months ago
Applications closedVelmox Data
Remote
Chicago, United States (UTC-6)
Data SLAs are easy to define and hard to enforce. You say the dataset will be refreshed by 8 AM daily with 99.5% row completeness. But who checks? Who...
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Posted 4 months ago
Applications closedWevio Systems
Remote
Chicago, United States (UTC-6)
Business dashboards are reactive by design — you open them when you think something is wrong. Predictive alerting flips that: the system tells you som...
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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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