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 closedZelux Studio
Remote
Berlin, Germany (UTC+1)
Our climate tech team works async across 6 continents, and we believe the best energy modelers aren't necessarily in the same city as our servers. If...
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Posted 4 months ago
Applications closedLumio Systems
Remote
Los Angeles, United States (UTC-8)
You'll be the fourth engineer on a 12-person platform team that ships MLOps infrastructure to 300+ enterprise ML teams. Our clients run thousands of m...
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Posted 4 months ago
Applications closedKrato AI
Remote
Los Angeles, United States (UTC-8)
The attribution model you build will directly influence how our clients allocate $40M+ in annual marketing spend. Last-touch and first-touch are dead...
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Posted 4 months ago
Applications closedPolvex Studio
Remote
New York, United States (UTC-5)
We're scaling fast after landing three enterprise contracts with major consumer packaged goods brands. They want to understand not just who talks abou...
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Posted 4 months ago
Applications closedQuelva Works
Remote
Chicago, United States (UTC-6)
We run the AI workflow layer for 300+ operations teams, processing 40M+ tasks per month. SLA adherence is the metric our clients care about most — and...
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Posted 4 months ago
Applications closedInfera Cloud
Remote
London, United Kingdom (UTC+0)
You'd join a team of 6 data engineers who've spent three years building streaming data pipelines for cloud-native companies. The infrastructure is sol...
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Posted 4 months ago
Applications closedFynix Studio
Remote
Los Angeles, United States (UTC-8)
We closed our Series B three months ago with one clear mandate: ship better product decisions faster. Our PM team reviews hundreds of user signals per...
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Posted 4 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
Our forecasting systems can predict demand to within 3% for most SKU clusters. What we can't do yet is translate that signal into warehouse space deci...
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Posted 4 months ago
Applications closedJarvik Solutions
Remote
New York, United States (UTC-5)
You'd join a CX engineering pod of 8 people who've spent two years building our AI-powered customer success platform. We automate onboarding, track he...
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Posted 4 months ago
Applications closedPaleon Data
Remote
Denver, United States (UTC-7)
Soil stores more carbon than the atmosphere and all living vegetation combined. Knowing how much carbon is stored in a given parcel of agricultural or...
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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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