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 2 months ago
Applications closedOrvion Systems
Remote
Denver, United States (UTC-7)
We're building the next generation of AI-powered dispatch tools for field service companies managing thousands of technicians across dozens of regions...
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Posted 2 months ago
Applications closedQuelva Works
Remote
Denver, United States (UTC-7)
Fast-moving team, big problem: procurement teams keep missing vendor contract renewal windows and either auto-renewing bad deals or losing leverage to...
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Posted 2 months ago
Applications closedRelvix Data
Remote
Los Angeles, United States (UTC-8)
As a fully async team spread across 9 time zones, we believe great data governance shouldn't depend on everyone being online at once. Data stewardship...
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Posted 3 months ago
Applications closedYalvex AI
Remote
Chicago, United States (UTC-6)
PyTorch model registries, Kubernetes deployments, and Airflow-orchestrated rollout pipelines are the core of what our platform manages for customers....
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Posted 3 months ago
Applications closedJaltrix Data
Remote
Manila, Philippines (UTC+8)
Our active learning sampling and consensus algorithms pick the right examples to label, but right now any available annotator can be assigned any task...
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Posted 3 months ago
Applications closedUlvex Systems
Remote
Los Angeles, United States (UTC-8)
We just closed our Series B and are scaling our observability platform fast. We need a senior engineer who can build the chaos simulation layer our la...
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Posted 3 months ago
Applications closedJoltura Labs
Remote
New York, United States (UTC-5)
Our test suites are growing faster than our ability to trust them. We're looking for someone who can help us catch a specific, sneaky problem: test fi...
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Posted 3 months ago
Applications closedOntix Intelligence
On-site
Chicago, United States (UTC-6)
We run over 600 inspection cameras across a dozen facilities, and a camera drifting out of calibration silently degrades every defect model that relie...
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Posted 3 months ago
Applications closedUnvix Works
Remote
Timezone not specified
Three external data vendors feed our core pipelines, and when one of them misses their delivery SLA, we usually find out from a downstream team compla...
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Posted 3 months ago
Applications closedVelmox Data
Remote
Timezone not specified
Twelve teams pull from the same feature store, and finance has no way to tell which team's usage is actually driving the compute bill. This role build...
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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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