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 months ago
Applications closedRolvex Solutions
Remote
Chicago, United States (UTC-6)
Deploying a new model version seems like it should be safe once the model passes accuracy tests. But a model that changed its output schema — returnin...
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Posted 4 months ago
Applications closedSynta Cloud
Remote
Chicago, United States (UTC-6)
Industrial equipment consumes energy in characteristic patterns: a compressor has a specific power draw at full load, a conveyor system has a predicta...
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Posted 4 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
Forty percent of all fresh produce in the US is wasted between farm and consumer. A significant portion of that waste happens at the retail stage: sto...
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Posted 4 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
When a data pipeline fails, the data for that time window doesn't just disappear — it needs to be recovered and processed to fill the gap. When a sche...
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Posted 4 months ago
Applications closedKelvix Systems
Remote
London, United Kingdom (UTC+0)
Glacial melt is one of the most directly measurable consequences of climate change and one of the most important inputs to sea level rise projections....
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Posted 4 months ago
Applications closedKolvex Cloud
Remote
Amsterdam, Netherlands (UTC+1)
Cloud workloads have a carbon footprint that varies significantly based on which region they run in, what time of day they run, and which cloud provid...
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Posted 4 months ago
Applications closedEvorra Systems
Remote
New York, United States (UTC-5)
When an incident is over, the first question is: what exactly happened, and in what order? Reconstructing a coherent incident timeline from alert logs...
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Posted 4 months ago
Applications closedZaltex Data
Remote
Chicago, United States (UTC-6)
Parking availability is a meaningful driver of where people shop, eat, and run errands. A city neighborhood with unpredictable parking loses foot traf...
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Posted 4 months ago
Applications closedQuelva Works
Remote
Chicago, United States (UTC-6)
Process automation platforms generate exception logs: the cases where the automated workflow couldn't complete and a human had to intervene. Those log...
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Posted 4 months ago
Applications closedRelvix Data
Remote
New York, United States (UTC-5)
Most organizations don't know what sensitive data they have or where it is. Healthcare organizations with HIPAA obligations, financial institutions wi...
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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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