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Airflow Developer Jobs (NOW HIRING)

Installing tools and job scheduling or data workflow tools like Crontab or Apache Airflow * Programming experience with one or more programming languages * Python, object oriented programming ...

Python Developer Onsite Role Charlotte NC Key Responsibilities • Build and maintain large-scale ... Airflow, ensuring reliability, scalability, and observability. • Optimize performance of data ...

Python Developer Onsite Role Charlotte NC Key Responsibilities • Build and maintain large-scale ... Airflow, ensuring reliability, scalability, and observability. • Optimize performance of data ...

React JS with Azure

Chicago, IL · On-site

$56.75 - $70.25/hr

The ideal candidate is a ReactJS frontend engineer with Azure cloud deployment expertise who can also design and orchestrate data workflows in Airflow, perform Python scipting and run Spark jobs on ...

React JS with Azure

Chicago, IL

$56.75 - $70.25/hr

The ideal candidate is a ReactJS frontend engineer with Azure cloud deployment expertise who can also design and orchestrate data workflows in Airflow, perform Python scipting and run Spark jobs on ...

ReactJS with Azure develope

Chicago, IL

$56.75 - $70.25/hr

ReactJS with Azure (Majority work), Python, Airflow, Spark with Kubernetes. And ETL Data knowledge. The ideal candidate is a ReactJS frontend engineer with Azure cloud deployment expertise who can ...

Senior DevOps Engineer

Chicago, IL · On-site

$133K - $172K/yr

This includes AI/ML platforms, data orchestration (Airflow), and data integration pipelines connecting internal systems with external vendors. A successful engineer brings a DevOps mindset into a ...

Senior DevOps Engineer

Cleveland, OH · On-site

$126K - $162K/yr

This includes AI/ML platforms, data orchestration (Airflow), and data integration pipelines connecting internal systems with external vendors. A successful engineer brings a DevOps mindset into a ...

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Airflow Developer information

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$17

$52

$81

How much do airflow developer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for airflow developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is the salary of Airflow developer?

The salary of an Airflow developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in Python, cloud platforms, and data pipeline management tend to earn higher salaries.

What are Airflow Developers?

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 is an Airflow developer?

An Airflow developer is a software professional who designs, builds, and maintains data workflows using Apache Airflow. They typically have skills in Python, data engineering, and workflow orchestration, and work to automate and schedule complex data pipelines in cloud or on-premises environments.

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.

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.

Is Airflow in demand?

Airflow developers are in high demand due to the increasing need for data pipeline orchestration in data engineering and analytics. Skills in Python, cloud platforms, and workflow management tools contribute to job opportunities across various industries.

What jobs in the US pay 300,000 a year?

For an Airflow Developer, earning $300,000 annually typically requires senior-level experience, specialized skills in data pipeline orchestration, and often working in large organizations or consulting roles. High salaries are common in roles involving complex data infrastructure, cloud platforms, and leadership responsibilities. Certifications like Apache Airflow or cloud provider credentials can also contribute to higher compensation.
More about Airflow Developer jobs
What cities are hiring for Airflow Developer jobs? Cities with the most Airflow Developer job openings:
What states have the most Airflow Developer jobs? States with the most job openings for Airflow Developer jobs include:
Infographic showing various Airflow Developer job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 73% Full Time, 19% Part Time, 2% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.
GIS - Analyst

Full-time

Posted 23 days ago


Job description

Company Description

At Collabera, we recognize that our client satisfaction depends in large part on our resource satisfaction, so we make meeting your career needs a top priority. We provide a high-touch, supportive environment that enables you to grow and challenge yourself while maintaining work-life balance. Choose from a wide range of exciting opportunities from our diverse Fortune 500 client base.

Job Description
  • Work with a senior team member to manage and support the GSND Sandbox
  • This involves database management and ETL development/support
  • Manage GSND Sandbox SQLServer and PostGress databases
  • Daily maintenance and support of existing data ingestion processes
  • Create new databases/tables, ingestion processes, transformations
Qualifications
  • 5 years experience with database management for one or more databases including SQL Server, Oracle, DB2, MySQL Writing complex SQL queries ETL development experience using one or more tools such as Datastage, Informatica, Teradata utilities
  • Experience in working with Linux platform
  • Installing tools and job scheduling or data workflow tools like Crontab or Apache Airflow
  • Programming experience with one or more programming languages
  • Python, object oriented programming experience desired Knowledge of AWS (Amazon Cloud) architecture
Additional Information

All your information will be kept confidential according to EEO guidelines.