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 closedSynta Cloud
Remote
Detroit (UTC-5)
When production yield drops from 96% to 91% on a manufacturing line, engineers need to find the root cause before more defective units ship. The data...
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Posted 4 months ago
Applications closedLumio Systems
Remote
Chicago, United States (UTC-6)
We deploy AI models for 45 enterprise clients. Every deployment generates metrics: pre-deployment test results, canary analysis outcomes, rollout spee...
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Posted 4 months ago
Applications closedGravex Cloud
Remote
Chicago, United States (UTC-6)
Three months ago, a model in production was making predictions that degraded silently for 11 days before anyone noticed. The postmortem showed the roo...
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Posted 4 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
Black Friday. Valentine's Day. The week before Thanksgiving. Back-to-school. These demand spikes are predictable — but predicting their magnitude prec...
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Posted 4 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
We process 4 petabytes per month across our clients' data lakes, and the query costs that land on their AWS bills every month are rarely what anyone e...
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Posted 4 months ago
Applications closedCeltrix AI
Remote
Los Angeles, United States (UTC-8)
Our wearable devices generate inference logs, power consumption metrics, and model accuracy signals continuously — but right now that data sits on dev...
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Posted 4 months ago
Applications closedGlyph Systems
Remote
Chicago, United States (UTC-6)
Government data is fragmented by design. A city's permits are in one system, its code violations in another, its property records in a third — all usi...
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Posted 4 months ago
Applications closedXivio Solutions
Remote
Los Angeles, United States (UTC-8)
We manage ML infrastructure for 28 AI companies that don't want to hire dedicated platform teams. Our platform monitors their training clusters, flags...
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Posted 4 months ago
Applications closedUnvix Works
Remote
New York, United States (UTC-5)
Data mesh architectures distribute data ownership to domain teams — but without centralized governance, you end up with 40 teams producing 40 incompat...
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Posted 4 months ago
Applications closedSynta Cloud
Remote
Chicago, United States (UTC-6)
We just closed our Series B and are scaling our industrial AI platform into the automotive and electronics manufacturing sectors. The expansion means...
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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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