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Airflow Developer Jobs in Minnesota (NOW HIRING)

Ycotek

Data Engineer

Minneapolis, MN · On-site

$90 - $140/hr

Mentor junior engineers and foster a culture of collaboration and technical excellence within the ... Apache Airflow, Talend, Fivetran). * Experience with data visualization tools such as Tableau ...

Ycotek

Senior Data & Analytics Engineer

Minneapolis, MN · On-site

$120 - $180/hr

Mentor junior engineers and foster a culture of collaboration and technical excellence within the ... BigQuery) and ETL tools (e.g., Apache Airflow, Talend,Fivetran). * Experience with data ...

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 ...

Cognizant

AI Architect

Minneapolis, MN · On-site

$180 - $240/hr

Partner with data engineering teams to identify high‑value automation opportunities across ingestion, transformation, orchestration (Airflow/dbt/Spark, etc.), and observability layers * Architect ...

New

Onsights

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) • ...

C4 Technical Services

AI/ML Engineer

Minneapolis, MN · On-site

Experience with tools and technologies such as Azure DevOps, Vertex AI, AWS Bedrock, SageMaker, BigQuery, Snowflake, OpenSearch, Cloud Run, Docker, Airflow, Terraform, or comparable cloud and MLOps ...

Evapco

Start-up Manager

Medford, MN · On-site

This role serves as the primary link between Engineering, Manufacturing, Sales, Service ... Develop technician training programs focused on HVAC, refrigeration, controls, burners, and airflow ...

3M

Enterprise Search Tech Lead

Maplewood, MN · On-site

... engineering standards. * Partnering with the domain architect on long-term strategy while independently executing complex platform changes. * Building and maintaining Airflow-orchestrated ingestion ...

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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.

Data Engineer

Ycotek

Minneapolis, MN • On-site

$90 - $140/hr

Other

Posted 5 days ago

Job description

We are looking for a self-driven, motivated, and results-oriented professional to join our dynamic team as a Data Engineer. Details of the same have been highlighted below:

Roles and responsibilities
  • Design, develop, and optimize data pipelines and ETL processes for efficient data ingestion, transformation, and integration from multiple sources.
  • Manage and maintain data warehouses and data lakes, ensuring accuracy, availability, and security.
  • Work closely with business stakeholders, data analysts, and data scientists to translate business needs into technical solutions.
  • Implement data quality frameworks, monitoring systems, and performance tuning.
  • Contribute to data modeling, architecture, and governance best practices.
  • Support the development of dashboards, reports, and analytical models to provide actionable insights.
  • Mentor junior engineers and foster a culture of collaboration and technical excellence within the data team.
Skills and Qualifications
  • Strong experience in SQL, Python. Familiarity with data warehousing technologies (e.g., Snowflake, Redshift, BigQuery) and ETL tools (e.g., Apache Airflow, Talend, Fivetran).
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Knowledge of cloud-based platforms (AWS, Google Cloud, Azure) and associated data services.
  • Experience with Hadoop, Spark, Kafka, or other big data technologies is a plus.
  • Strong understanding of relational databases, data modeling concepts, and designing data architectures.
  • Ability to analyze complex data sets and identify trends, correlations, and insights.
  • Excellent verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
Experiences
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’s preferred).
  • 2+ years of experience in data engineering or a related field, preferably in analytics or business intelligence.
  • Strong experience working with large datasets and complex data pipelines.
  • Previous experience in a similar industry or field is a plus.
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