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 5 months ago
Applications closedUnvix Works
Remote
Berlin, Germany (UTC+1)
Legacy ETL pipelines are the technical debt nobody wants to touch. They're fragile, undocumented, and critical. Our platform uses AI to understand leg...
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Posted 5 months ago
Applications closedFynix Studio
Remote
Los Angeles, United States (UTC-8)
Every ML team runs experiments. Almost none of them can reproduce last month's results. Our experimentation platform tracks every variable — data vers...
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Posted 5 months ago
Applications closedQuelva Works
Remote
Chicago, United States (UTC-6)
Enterprise operations generate millions of event logs — every click, approval, handoff, and delay captured in system audit trails. Process mining turn...
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Posted 5 months ago
Applications closedCovex Cloud
Remote
Chicago, United States (UTC-6)
Most ML teams over-provision inference infrastructure because they can't predict demand. GPUs sit idle at 15% utilization during off-peak hours while...
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Posted 5 months ago
Applications closedMivex Cloud
Remote
New York, United States (UTC-5)
We operate 200 A100 GPUs across two data centers, and utilization is our business model. Every idle GPU-hour is lost revenue. Every training job that...
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Posted 5 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
We already process 800GB daily in batch. Now our ML teams need real-time features — and the streaming infrastructure to deliver them. Wind turbine sen...
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Posted 5 months ago
Applications closedZelux Studio
Remote
Berlin, Germany (UTC+1)
ESG reporting used to be a nice-to-have. Now it's mandatory for thousands of European companies, and they don't have the data infrastructure to comply...
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Posted 5 months ago
Applications closedKvasir AI
Remote
Los Angeles, United States (UTC-8)
The forecasting team has good ideas and not enough platform leverage. Training runs are inconsistent, feature pipelines are fragile, and deployment ha...
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Posted 5 months ago
Applications closedAzulai
Remote
Los Angeles, United States (UTC-8)
A product analytics group is moving experimentation logs from a legacy warehouse setup into a cleaner event model and needs short-term help. The work...
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Posted 5 months ago
Applications closedSolaria Data
Hybrid (Berlin, DE)
Berlin, Germany (UTC+1)
Our research and applied ML teams move quickly, but the training stack around them is inconsistent and expensive. We need a platform engineer to stand...
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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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