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 weeks ago
Applications closedRemote
Denver, United States (UTC-7)
We built a data pipeline platform that moves billions of events into Snowflake for logistics and retail customers. Orchestration, schema checks and li...
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Posted 4 weeks ago
Applications closedRemote
Lisbon, Portugal (UTC+0)
You'd be the newest of six people on our release engineering squad, and you'd pair with a senior engineer for your first two months. Yalvex AI runs de...
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Posted 1 month ago
Applications closedHybrid
Denver, United States (UTC-7)
Airflow DAGs, Docker containers, and dozens of streaming pipelines with almost no automated test coverage are what you'll be working against. If writi...
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Posted 1 month ago
Applications closedRemote
Los Angeles, United States (UTC-8)
We're building the next generation of self-documenting data infrastructure, where pipelines explain themselves when something breaks instead of leavin...
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Posted 1 month ago
Applications closedRemote
Denver, United States (UTC-7)
Python, Airflow, and a genuine belief that good sales intelligence data starts with good labeling are the core of what this freelance role is about. O...
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Posted 1 month ago
Applications closedRemote
Los Angeles, United States (UTC-8)
We're building the operational backbone that lets our clinical research teams move faster without babysitting spreadsheets and manual handoffs. Fast-m...
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Posted 1 month ago
Applications closedRemote
Chicago, United States (UTC-6)
Airflow, SQL, and a growing library of internal ETL jobs are the core of what our retail forecasting platform runs on. What we're missing is someone d...
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We already have a working conversational search stack processing millions of queries a day. What we don't have is a dedicated pipeline engineer to kee...
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Posted 1 month ago
Applications closedRemote
Chicago, United States (UTC-6)
We just closed a new wave of enterprise social listening contracts and our manual reporting workflows can't keep up with the new volume. We need a mid...
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Posted 1 month ago
Applications closedRemote
Berlin, Germany (UTC+1)
What happens in the first hour after a data breach is confirmed often determines whether a company meets its 72-hour notification deadline. We need a...
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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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