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 3 months ago
Applications closedInfera Cloud
Remote
UTC (UTC+0)
As a fully async team spread across nine time zones, we believe great infrastructure engineers ship reliable systems without needing to be in the same...
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Posted 3 months ago
Applications closedQuelva Works
Hybrid
Denver, United States (UTC-7)
Finance teams at our client companies lose days routing expense reports through the wrong approval chain, especially for edge cases involving multiple...
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Posted 3 months ago
Applications closedRelvix Data
Remote
New York, United States (UTC-5)
Enterprise clients in regulated industries need proof that data past its retention window is actually deleted, not just marked for deletion in a sprea...
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Posted 3 months ago
Applications closedEvorra Systems
Remote
Chicago, United States (UTC-6)
Our incident response and runbook automation tools already help on-call engineers resolve issues faster once they're paged, but the handoff between sh...
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Posted 3 months ago
Applications closedRolvex Solutions
Remote
Los Angeles, United States (UTC-8)
We don't care where you work from, we care about clean pipelines and predictable deployment behavior during high-risk periods. Our canary analysis and...
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Posted 3 months ago
Applications closedNortex Solutions
Remote
Chicago, United States (UTC-6)
Clients send us the same contract or claim document three or four times across a negotiation, each time with small edits, and right now our system tre...
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Posted 3 months ago
Applications closedUnvix Works
Remote
Denver, United States (UTC-7)
As a fully async team, we believe great engineers can work from anywhere, and our own internal tooling should be as good as what we build for clients...
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Posted 3 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
Airflow, Spark, and Kafka are the backbone of every data pipeline we run at Infera Cloud. If you've ever debugged a silent pipeline failure at 2am bec...
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Posted 3 months ago
Applications closedQuelva Works
Remote
Chicago, United States (UTC-6)
Every purchase requisition at our client companies still routes through three to five manual approval steps, most of which could be automated with the...
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Posted 3 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
Airflow, Spark, and Kafka are the backbone of every data pipeline we run at Infera Cloud. If you've ever debugged a silent pipeline failure at 2am bec...
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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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