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Airflow Developer Jobs in Minnesota (NOW HIRING)

Indotronix International Corporation

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Data Engineer - Tech Lead (GCP, Apache Beam, Airflow) Location: Eagan, MN (Remote Eligible) | Job Type: C2C About the Role Join a dynamic Rebate Data Warehouse team as a tech lead/principal data ...

Hack The Box LTD

Senior Data Engineer

Virginia, MN · On-site

$140 - $160/hr

Airflow (Cloud Composer) * Analytical store: ClickHouse * Languages: Python, SQL * Modelling ... Partner with ML engineers on feature stores, drift monitoring, and retraining workflows * Capture ...

Stellar IT Group

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

As a Developer, you will build and enhance data pipelines, APIs, and cloud-based services on Google ... Skills Overview: • SQL (5+ years) • Apache Airflow (Cloud Composer) (3+ years) • GCP ...

Saige Partners

Data Platform Engineer

Eden Prairie, MN · On-site

$116K - $140K/yr

Google Cloud Platform experience with BigQuery, Cloud Storage, Composer/Airflow, Pub/Sub, Dataflow, Dataproc, Kubernetes/GKE, Cloud Build, or similar services. * Experience with Azure DevOps, GitHub ...

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Airflow Developer information

What is an Airflow developer?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

What are the key skills and qualifications needed to thrive as an Airflow developer, and why are they important?

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

Does Airflow require coding?

Airflow developers typically need to have programming skills in Python, as workflows are defined using code. Coding knowledge is essential for creating, maintaining, and troubleshooting data pipelines in Airflow.

Is Airflow part of DevOps?

An Airflow Developer works with Apache Airflow, a platform used to programmatically author, schedule, and monitor workflows. While Airflow is often employed within DevOps environments to automate data pipelines and deployment processes, it is not inherently part of DevOps but complements DevOps practices by enabling automation and orchestration. Knowledge of CI/CD tools and infrastructure management is beneficial for such roles.

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

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

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

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

What cities in Minnesota are hiring for Airflow Developer jobs?

Cities in Minnesota with the most Airflow Developer job openings:

Airflow Developer jobs near you
Infographic showing various Airflow Developer job openings in Minnesota as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution.

Technology Lead | Database | MySQL

Spruce Infotech

Minneapolis, MN • On-site

Full-time

Posted 24 days ago

Job description

Job Title: AI/ML Engineer
Work Location: MinneapolisMN55401
XXX
Contract duration: 6
Target Start Date : 10 Aug 2026
Does this position require Visa independent candidates only? Yes
**FULL ONSITE**
Job Details:
Must Have Skills
Cloud technologies like Azure, Databricks, Python, Spark, Airflow, and most importantly strong AI knowledge.
Nice to have skills
Python, Spark, Airflow
Detailed Job Description
Cloud technologies like Azure, Databricks, Python, Spark, Airflow, and most importantly strong AI knowledge. The resource will be responsible for delivering capitalfunded cloud migration initiatives.
Minimum years of experience
8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
cloud migration initiatives.
The resource will be responsible for delivering capitalfunded cloud migration initiatives.
most importantly strong AI knowledge
Interview Process (Is face to face required?)
No
Any additional information you would like to share about the project specs/ nature of work
Project Code: Child code Hyd STP

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