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 closedCovex Cloud
Remote
New York, United States (UTC-5)
Our ML engineers ship great models. Getting those models into production used to take 3 weeks and a prayer. We've cut it to 5 days, but we want same-d...
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Posted 5 months ago
Applications closedJaltrix Data
Remote
London, United Kingdom (UTC+0)
Models are only as good as their training data, and our training data comes from 200 annotators working across three time zones producing 15,000 label...
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Posted 5 months ago
Applications closedGravex Cloud
Remote
Berlin, Germany (UTC+1)
Feature engineering is where data scientists spend 60% of their time, and most of that time is wasted rebuilding features someone else already created...
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Posted 5 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
Predicting demand for 45,000 SKUs across 1,200 store locations with 94% accuracy sounds like an academic exercise. For our retail clients, it's the di...
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Posted 5 months ago
Applications closedBolvex Solutions
Remote
Los Angeles, United States (UTC-8)
Genomic datasets are massive, messy, and growing exponentially. A single whole-genome sequencing run produces 200GB of raw data, and we process 400 ru...
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Posted 5 months ago
Applications closedTuvex Solutions
Remote
New York, United States (UTC-5)
We're a 45-person company and our data infrastructure has outgrown the scripts-and-cron-jobs phase. Our ML team needs reliable, tested, documented dat...
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Posted 5 months ago
Applications closedRelvix Data
Remote
Berlin, Germany (UTC+1)
When a dashboard number looks wrong, the first question is always 'where does this data come from?' Data lineage answers that question — tracing every...
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Posted 5 months ago
Applications closedZelux Studio
Remote
Berlin, Germany (UTC+1)
Carbon accounting is mandatory for thousands of EU companies, but most don't have the technical infrastructure to measure their emissions accurately....
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Posted 5 months ago
Applications closedDelvio Solutions
Remote
Chicago, United States (UTC-6)
Regulatory compliance isn't a one-time checkbox — it's continuous monitoring. When regulations change, companies need to know immediately which of the...
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Posted 5 months ago
Applications closedInfera Cloud
Remote
Chicago, United States (UTC-6)
Data pipelines fail silently. A source system changes its schema, a transformation produces null values, or an ingestion job completes but processes z...
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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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