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Remote Apache Airflow Jobs
Browse remote Airflow positions at companies running production ML pipelines — DAG engineering, workflow orchestration, and MLOps automation roles.
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We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop fr...
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We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop fr...
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Build AI contracting at enterprise scale. Ship it fast. Ironclad is building AI on one of the most consequential datasets in enterprise software: over...
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Posted 2 weeks ago
Senior Data Engineer
Germany; Israel; Netherlands; Prague, Czech Republic; Remote - Europe; United Kingdom
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers...
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Posted 2 weeks ago
Software Engineering Manager -Data Platform
Boston, Massachusetts, United States; Remote U.S.
We are seeking an experienced and visionary Staff Level Technical Lead Manager to build and lead our new Data Platform team. This pivotal role will dr...
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Posted 2 weeks ago
Senior Engineer, ML Data Services
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
We are seeking a Senior Engineer to join our ML Data Services team and help us build and improve data infrastructure for Autonomy ML teams. As a Senio...
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Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, reco...
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Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI develo...
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Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading uni...
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Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a b...
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Role guide
What to expect in remote Airflow jobs
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 you'll work on
- Build Airflow DAGs that automate ML model retraining on schedule or data trigger
- Orchestrate multi-step pipelines across Spark, dbt, and ML systems
- Monitor and alert on pipeline failures in production data workflows
- Migrate fragile cron jobs to reliable, retryable Airflow workflows
What companies look for
- Production DAG design — modularity, testing, failure handling
- Airflow operator, sensor, and hook development experience
- Knowledge of Airflow deployment on Kubernetes or Astronomer
Frequently asked questions
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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