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Airflow Developer Jobs in Pittsburgh, PA (NOW HIRING)

Software Engineer III

Pittsburgh, PA · On-site

$55.75 - $75/hr

Software Engineer III Location: Pittsburgh, PA (5 days' on-site) Duration: 1 Year Contract We are ... Implement data flow integrity in Apache Airflow. * Take feedback from operators of the research ...

Familiarity with data orchestration tools (Airflow or similar) and scheduling frameworks * Exposure to data quality validation, reconciliation, and audit frameworks * Knowledge of DevOps practices ...

Familiarity with data orchestration tools (Airflow or similar) and scheduling frameworks * Exposure to data quality validation, reconciliation, and audit frameworks * Knowledge of DevOps practices ...

Familiarity with data orchestration tools (Airflow or similar) and scheduling frameworks * Exposure to data quality validation, reconciliation, and audit frameworks * Knowledge of DevOps practices ...

This engineer will play a key role in application modernization, production support, technical debt ... Airflow, dbtAdditional Preferred ExposureAI/ML Capabilities, Analytics Platforms, Enterprise Data ...

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Category: Analytics and Emerging Digital Technologies Main location: United States ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

Senior Data Engineer

Pittsburgh, PA · On-site

$102K - $139K/yr

Senior Data Engineer Category: Analytics and Emerging Digital Technologies Main location: United ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

Data Engineer

Pittsburgh, PA · On-site

$107K - $128K/yr

Bachelors degree in Computer Science or related field . 4+ years of experience in data engineering ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

Senior Software Engineer

Pittsburgh, PA · Hybrid

$118K - $156K/yr

Familiarity with orchestration frameworks like Kubernetes, AirFlow, MLFlow * Programming experience in C++ or JavaScript * Experience with Agile processes like Scrum Benefits You Will Love Certified ...

Senior Data Engineer

Pittsburgh, PA · On-site

$99K - $134K/yr

Bachelors degree in Computer Science or related area . 6+ years of experience in data engineering ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

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Airflow Developer information

See Pittsburgh, PA salary details

$16

$51

$79

How much do airflow developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for airflow developer in Pittsburgh, PA is $51.30, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $62.79 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 Pittsburgh, PA are hiring for Airflow Developer jobs?

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

Infographic showing various Airflow Developer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 40% In-person, 20% Hybrid, and 40% Remote job distribution, with an average salary of $106,697 per year, or $51.3 per hour.

Technology - Application Developer III

Scalence L.L.C.

Pittsburgh, PA • On-site

$93K - $128K/yr

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Scalence L.L.C. is seeking Senior Full Stack Developers to support a government-focused project in a highly scalable and secure environment. The role will primarily involve backend development while also supporting frontend work, with a focus on AI-enabled development tools and secure coding practices.
Responsibilities:
• Design and develop scalable full-stack applications using modern frameworks and tools
• Focus primarily on backend development while supporting Angular-based frontend components
• Work in AI-enabled development environments using tools such as Windsurf, Cursor, or similar AI coding assistants
• Implement secure coding practices and ensure auditability due to highly confidential government data
• Build and maintain REST APIs for high-volume systems
• Develop and execute test cases (BDD preferred; AI-assisted testing acceptable)
• Contribute to technical design and lead development initiatives where required
• Develop solutions in Azure cloud environments, including AKS-managed Kubernetes infrastructure
• Implement job scheduling and workflow automation using tools such as Apache Airflow or Spring Batch
• Collaborate with teams to ensure high observability and monitoring capabilities across applications
• Ensure compliance with FedRAMP Moderate and High security standards
Qualifications:
Required:
• Strong experience in Full Stack Development
• Expertise in Java 17+
• Experience with Spring Boot 3.5+
• Strong frontend development using Angular 23+
• Experience building RESTful APIs
• Experience with Azure Cloud environments
• Hands-on experience with Kubernetes / AKS
• Experience with AI-enabled coding tools or workflows
• Strong secure coding and security compliance mindset
• Experience building highly scalable, high-volume systems
• Experience with test automation and writing test cases
• Strong systems thinking and architecture-aware development approach
• Experience with Windsurf or Cursor AI coding tools
• Experience with Apache Airflow or Spring Batch
• Experience building highly observable systems
• Experience working in FedRAMP-compliant environments
• Prior experience working on government or regulated projects
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.