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 6 months ago
Applications closedSignalCove Data
Remote (EU preferred)
We collect sensor data from production lines, but our quality reporting is still built from manual CSV exports. It is slow, inconsistent, and nobody i...
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Posted 6 months ago
Applications closedFenix ML
Remote (Canada)
Toronto, Canada (UTC-5)
We're a healthcare analytics company based in Toronto. Our platform ingests claims data, lab results, and pharmacy records from provincial health syst...
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Posted 6 months ago
Applications closedAzulai
Remote
New York, United States (UTC-5)
The version of this company that exists today is the direct result of one automation working. Two years ago our operations team was spending 22 hours...
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Posted 6 months ago
Applications closedHangul AI
Remote
Paris, France (UTC+1)
We have a growing library of internal scripts and automation tools that need to be upgraded into proper, maintainable code. We need a Python engineer...
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Posted 6 months ago
Applications closedNordBot AI
Remote
New York, United States (UTC-5)
We run ML models in production serving millions of predictions per day and need an ML engineer who is as comfortable with systems and infrastructure a...
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Posted 6 months ago
Applications closedStrata AI
Remote
Berlin, Germany (UTC+1)
Bad data costs us decisions. We need a data quality engineer to build the checks, alerts, and processes that keep our data warehouse reliable. You wil...
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Posted 6 months ago
Applications closedQuantumEdge
Remote
We're migrating from a legacy on-premise data warehouse (PostgreSQL + custom ETL scripts) to Snowflake with dbt for transformations and Airflow for or...
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Posted 7 months ago
Applications closedCognia
Remote (US-friendly timezone)
We process 500 million events per day. Stack is Kafka + Spark on AWS, orchestrated via Airflow. It's held up, but end-to-end latency on our critical e...
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Posted 8 months ago
Applications closedWeldAI
Remote (EU timezone)
We have 14 ML models in production and feature engineering is duplicated everywhere. Each model team maintains their own pipelines. When one team fixe...
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Posted 9 months ago
Applications closedSelva Technologies
Remote
We have 80+ Airflow DAGs and they're a mess. Some DAGs take 6 hours when they should take 30 minutes. We have dependencies that are poorly documented,...
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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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