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Airflow Developer Jobs (NOW HIRING)

IDC Technologies

Data Engineer in Sunnyvale CA

Sunnyvale, CA · On-site

$134K - $161K/yr

Should be familiar with modern data platforms like Apache Presto or AWS Athena, and workflow tools like Apache Airflow. Engineers will write data collection scripts, aggregation algorithms, and ...

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$210 - $250/hr

We're looking for a Senior Software Engineer to join our Airflow Infra team, part of Astro, our flagship cloud platform. You'll be building the critical layer that connects the open-source Airflow ...

Astronomer

$210 - $250/hr

We're looking for a Senior Software Engineer to join our Airflow Infra team, part of Astro, our flagship cloud platform. You'll be building the critical layer that connects the open-source Airflow ...

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How much do airflow developer jobs pay per hour?

As of Sep 7, 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 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.
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Airflow Developer jobs near you
Infographic showing various Airflow Developer job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 3% Part Time, and 12% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Data Engineer in Sunnyvale CA

IDC Technologies

Sunnyvale, CA • On-site

$134K - $161K/yr

Full-time

Re-posted 2 days ago

Job description

Company Description
IDC Technologies Inc.
Job Description
Please focus on spark/Pyspark with data experience.
Must Have Skills : Python , Data Engineering
Nice to have : Docker , Kuebernetes
Looking for experienced Python engineers with a background in data engineering. Should be familiar with modern data platforms like Apache Presto or AWS Athena, and workflow tools like Apache Airflow.
Engineers will write data collection scripts, aggregation algorithms, and implement storage technologies that power our internal business intelligence operations.
Candidates are expected to be excellent engineers and will be interviewed by our existing engineering team. Please do not submit candidates who do not have strong knowledge of algorithms and data structures, and a track record of shipping high quality software
Qualifications
Bachelors
Additional Information
All your information will be kept confidential according to EEO guidelines.

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