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Airflow Engineer Jobs in Minnesota (NOW HIRING)

Join a highly collaborative engineering team that is building next-generation cloud data platforms ... Hands-on experience developing orchestration workflows using Apache Airflow and/or Cloud Composer ...

Machine Learning Engineer

Brooklyn Park, MN · On-site

$60.15 - $75.18/hr

Title : Machine Learning Engineer Location : Brooklyn Park, MN Job Type : Contract (4 Months ... Familiarity with ML workflow orchestration tools (KFP, Airflow, or equivalents) * Strong background ...

... airflow, and thermal dissipation. * Define mechanical constraints and board outlines for printed ... Initiate Engineering Change Orders (ECs) to update 3D models and technical documentation. * Advise ...

... airflow, and thermal dissipation. * Define mechanical constraints and board outlines for printed ... Initiate Engineering Change Orders (ECs) to update 3D models and technical documentation. * Advise ...

... airflow, and thermal dissipation. * Define mechanical constraints and board outlines for printed ... Initiate Engineering Change Orders (ECs) to update 3D models and technical documentation. * Advise ...

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

... Airflow, DVC, BentoML) • Experience deploying containerized ML services using Docker and ... and DevOps practices applied to ML systems (e.g., Git, Code Review, Metrics Evaluation) • ...

Showing results 21-40

Airflow Engineer information

What is the difference between Airflow Engineer vs Data Engineer?

AspectAirflow EngineerData Engineer
CredentialsOften requires knowledge of Python, SQL, and cloud platformsRequires similar skills plus database management and ETL experience
Work EnvironmentFocuses on designing and maintaining workflows in data pipelinesBuilds and manages data infrastructure and pipelines
Industry UsageCommon in data-driven companies, analytics teams, and cloud servicesUsed across industries for data integration, storage, and processing

While both roles involve data workflows, an Airflow Engineer specializes in creating and managing workflows using Apache Airflow, whereas a Data Engineer handles broader data infrastructure and pipeline development. The roles often overlap, but the Airflow Engineer focuses more on workflow orchestration within the data ecosystem.

Infographic showing various Airflow Engineer job openings in Minnesota as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer

Horizontal Talent

Brooklyn Park, MN

Full-time

Posted 3 days ago

New


Job description

Join a dynamic engineering team supporting production machine learning pipelines that power inventory and workload insights for store operations. This role offers the opportunity to work in a cloud-native environment, strengthen pipeline reliability, and contribute to meaningful improvements in observability, monitoring, and performance.

Responsibilities
  • Support and maintain production ML pipelines that deliver inventory and workload insights
  • Monitor daily workflows and troubleshoot issues to help ensure reliability and SLA adherence
  • Improve the stability, performance, and observability of existing pipelines
  • Develop and enhance monitoring and alerting solutions using cloud-native tools and custom instrumentation
  • Work within a GCP and Vertex AI environment to support pipeline operations and improvements
  • Collaborate with engineers, data scientists, and operations partners to resolve issues and implement enhancements
  • Contribute to code changes and operational improvements using GitHub workflows and team standards
Skills
  • Strong Python programming skills
  • Working knowledge of PySpark
  • Hands-on experience with GCP services, including Vertex AI, BigQuery, Kubeflow Pipelines, and Cloud Monitoring
  • Familiarity with ML workflow orchestration tools such as KFP, Airflow, or similar platforms
  • Experience monitoring and troubleshooting jobs in distributed cloud environments
  • Understanding of observability practices, including OTEL and custom metrics instrumentation
  • Experience working with GitHub workflows, including pull requests, branching, and code reviews
  • Strong analytical and problem-solving abilities with close attention to detail
  • Clear communication skills and a collaborative mindset
Preferred Skills
  • Experience balancing operational support with targeted development work
  • Background in improving production pipeline reliability and performance
  • Ability to proactively identify opportunities for process or system improvements
  • Comfort working in cross-functional environments with technical and operational partners

Horizontal is committed to fostering a diverse, equitable, and inclusive workplace where all people feel valued, respected, and supported. We welcome applicants from all backgrounds and experiences and believe different perspectives help drive better outcomes.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.