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Airflow Developer Jobs in Philadelphia, PA (NOW HIRING)

Python Developer with AWS

Wilmington, DE · On-site

$48.75 - $67.25/hr

Role: Python Developer with AWS Location: Wilmington, DE Duration : Long Term Contract Skillsets ... Hands-on experience with data pipeline and orchestration tools such as Airflow, Kafka, Jenkins, and ...

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Python PySpark

Wilmington, DE · On-site

$48.75 - $67.25/hr

JD: Expert proficiency in Python programming language Expert proficiency in PySpark, including ... as Airflow, Kafka, and Jenkins. Design principles that are executable for a scalable app ...

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

Expert proficiency in Python programming language * Expert proficiency in PySpark, including Spark ... Experience with data pipeline tools such as Airflow, Kafka, and Jenkins. * Design principles that ...

Python Pyspar

Wilmington, DE · On-site

$48.75 - $67.25/hr

Expert proficiency in Python programming language * Expert proficiency in PySpark, including Spark ... Experience with data pipeline tools such as Airflow, Kafka, and Jenkins. * Design principles that ...

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

PySpark, including Spark SQL and other Spark APIs Expert proficiency in Python programming language ... as Airflow, Kafka, and Jenkins. Design principles that are executable for a scalable app ...

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

Expert proficiency in Python programming language Expert proficiency in PySpark, including Spark ... as Airflow, Kafka, and Jenkins. Design principles that are executable for a scalable app ...

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Airflow Developer information

See Philadelphia, PA salary details

$17

$53

$82

How much do airflow developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for airflow developer in Philadelphia, PA is $53.32, according to ZipRecruiter salary data. Most workers in this role earn between $40.77 and $65.24 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.

What cities near Philadelphia, PA are hiring for Airflow Developer jobs?

Cities near Philadelphia, PA with the most Airflow Developer job openings:

Infographic showing various Airflow Developer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $110,904 per year, or $53.3 per hour.

Data Scientist MLOps (MLflow, Kubeflow, Airflow)

TekCommands Inc

Philadelphia, PA • On-site

Contractor

Re-posted yesterday


Job description

-Required Skills & Qualifications
• 5+ years of experience in Data Science, Machine Learning, or related fields.
• Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
• Proficiency in cloud platforms (GCP) and scalable data engineering.
• Experience implementing and testing recommendation engines.
• Experience with Knowledge Graphs and their integration into AI/ML pipelines.
• Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
• Experience with collaborative software engineering practices (Agile, DevOps).
• Bachelor's or Master’s degree in Computer Science, Mathematics, Engineering, or related field.
Preferred Qualifications
• Background in Retail and Personalization Web Technologies.
• Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
• Understanding of client’s digital ecosystem and data-driven decision-making.
• Proficiency in business intelligence (BI) tools and data visualization.