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Airflow Engineer Jobs in Minnesota (NOW HIRING)

Stellar IT Group

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Data Engineer Richfield, MN 55423 (Local - Hybrid 2 Days/Week) 12+ Months Contract Project ... Skills Overview: • SQL (5+ years) • Apache Airflow (Cloud Composer) (3+ years) • GCP ...

Datasite

Data Operations Engineer

Minneapolis, MN

$172K/yr

As a Data Operations Engineer at Datasite, you own the full lifecycle of partner data as it moves ... You bring hands-on experience with modern data tooling (Snowflake, dbt, Airflow, schema registries ...

ENIN SYSTEMS INC

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Experience with Airflow or other workflow orchestration tools * Strong SQL skills, including query optimization and performance tuning * Experience with CI/CD, Git, Jenkins/GitHub Actions , and DevOp ...

New

Conch Technologies Inc

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Airflow, Dagster, or other orchestration tools * Healthcare or Health Insurance domain experience (Claims, Provider, Clinical, Payer) Ideal Candidate * Senior-level hands-on Data Engineer * Strong ...

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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.

What are popular job titles related to Airflow Engineer jobs in Minnesota?

For Airflow Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Airflow Engineer jobs in Minnesota look for?

The top searched job categories for Airflow Engineer jobs in Minnesota are:

Airflow Engineer jobs near you
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.

AI/ML Engineer

Career Soft Solutions Inc

Minneapolis, MN • On-site

Other

Posted 4 days ago

Job description

Job Title: AI/ML Engineer
Work Location: MinneapolisMN55401Detailed Job Description

The AI/ML Engineer will be responsible for delivering capital-funded cloud migration initiatives involving AI/ML and data platforms.

The resource will work closely with engineering, data, cloud, and business teams to migrate and modernize existing workloads while implementing scalable AI/ML solutions in the Azure ecosystem.

Key responsibilities include:

  • Design, develop, and implement AI/ML solutions for enterprise applications and data platforms.
  • Support the migration of existing AI, analytics, and data workloads to Microsoft Azure and Databricks.
  • Develop scalable data processing and machine learning pipelines using Python, Spark/PySpark, and Airflow.
  • Build and maintain Airflow workflows/DAGs for data and ML pipeline orchestration.
  • Develop, train, evaluate, and optimize machine learning models.
  • Apply strong AI/ML knowledge to solve complex business and technical problems.
  • Collaborate with cloud and data engineering teams to modernize legacy workloads.
  • Ensure migrated workloads meet performance, scalability, security, and reliability requirements.
  • Troubleshoot and optimize cloud-based AI/ML and data processing workloads.
  • Contribute to architecture, technical design, development, testing, deployment, and production support activities.
  • Participate in enterprise-scale cloud migration and modernization programs.
Top 3 Responsibilities
  1. AI/ML Engineering
    Design, develop, optimize, and productionize AI/ML solutions using Python and modern machine learning technologies.
  2. Cloud Migration & Modernization
    Deliver capital-funded initiatives focused on migrating and modernizing AI/data workloads using Azure and Databricks.
  3. Data & ML Pipeline Engineering
    Build and optimize scalable pipelines using Python, Spark/PySpark, and Airflow to support enterprise AI/ML workloads.

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