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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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In this role, you’ll work closely with model researchers, data infrastructure engineers, and cross-functional partners to make sure our data is high q...
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At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform in...
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Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writ...
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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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Posted 4 weeks ago
Applications closedSenior AI Training Data Snapshot Platform Engineer
Remote
Los Angeles, United States (UTC-8)
What we have: a model registry, a feature store, and experiment tracking that hundreds of ML teams rely on. What's missing: a reliable way to say exac...
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Posted 4 weeks ago
Applications closedJunior AI Freight Invoice Audit Automation Developer
Remote
Chicago, United States (UTC-6)
Our freight invoice checks are still half manual, and the backlog grows every Monday. Carriers bill accessorial charges, fuel surcharges and detention...
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Posted 4 weeks ago
Applications closedJunior AI Deployment Runbook Automation Developer
Hybrid
Lisbon, Portugal (UTC+0)
Every model deployment at Rolvex Solutions follows a runbook, and too many of those runbooks are still a list of commands that someone copies by hand...
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Posted 4 weeks ago
Applications closedAI Heatwave Grid Demand Forecasting Engineer
Remote
Sydney, Australia (UTC+11)
Grid operators know how to forecast normal summer demand. Heatwaves are a different story: air conditioning load spikes, rooftop solar output drops in...
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Posted 4 weeks ago
Applications closedAI GPU Utilization Forecasting Engineer
Remote
Denver, United States (UTC-7)
Our customers spend more on GPUs than on everything else in their cloud bill combined, and roughly a third of that capacity sits idle. Kolvex Cloud al...
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Posted 4 weeks ago
Applications closedSenior AI Data Contract Engineer
Remote
Amsterdam, Netherlands (UTC+1)
As a fully async team spread across seven countries, we write things down, and that habit is exactly what our customers' data pipelines lack. Velmox D...
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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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