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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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CodeRabbit is the leading AI code review platform, trusted by more than 17,000 customers and 150,000 open-source projects, conducting over 2 million c...
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Posted 3 days ago
Staff Software Engineer Engineer, Model Development Platform
Sunnyvale, California USA
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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Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and...
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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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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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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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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Join Nous to build and own the data pipelines behind our analytics and model training. This role centers on long-horizon agentic data at scale, turnin...
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Posted 2 weeks ago
Principal Engineer Team Lead, Simulation Infrastructure
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
Motional is at the forefront of the driverless revolution. An autonomous driving company backed by Hyundai Motor Group, we are making autonomous vehic...
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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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