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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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At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep do...
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Posted 3 weeks ago
Senior Software Engineer - Integrations - AI/ML
Canada · also open in 4 other locations
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible...
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At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep do...
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Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physicall...
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Posted 3 weeks ago
Associate Director, MLOps Engineering
Boston (Onsite) Preferred, New York (Onsite), or Remote
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis...
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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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Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform co...
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The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn fr...
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Posted 2 months ago
Staff+ Software Engineer, Data Infrastructure
Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society...
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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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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