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Apache Airflow Python Jobs (NOW HIRING)

Photon

Lead Data Engineer

Las Vegas, NV

$110K - $132K/yr

Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data. * Design and implement ...

RAPID EAGLE INC

Python Developer

Charlotte, NC

$55 - $75/hr

... with Apache Airflow, ensuring reliability, scalability, and observability. • Optimize performance of data pipelines and ML model training on distributed clusters. • Collaborate with Data ...

RAPID EAGLE INC

Python Developer

Charlotte, NC

$55 - $75/hr

... with Apache Airflow, ensuring reliability, scalability, and observability. • Optimize performance of data pipelines and ML model training on distributed clusters. • Collaborate with Data ...

BC Forward

Python Developer

Charlotte, NC

$65.05/hr

The ideal candidate will have strong experience in Python, Apache Spark, Apache Airflow, and Spark MLlib and a proven ability to design, build, and integrate robust data and ML pipelines that meet ...

Tror AI for everyone

Kafka/CDC/Python developer

Columbus, OH · On-site

$48.50 - $67/hr

Job Role: Kafka/CDC/Python developer Job Location: Columbus, OH - Hybrid Job Type: Contract ... Working Experience with Apache Airflow. * Working Experience with relational databases (Oracle, DB2 ...

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Apache Airflow Python information

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How much do apache airflow python jobs pay per year?

As of Jun 20, 2026, the average yearly pay for apache airflow python in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Apache Airflow Python developers when managing complex data pipelines?

Apache Airflow Python developers often encounter challenges such as handling task dependencies, ensuring reliability in scheduling, and troubleshooting failures in distributed environments. Managing dynamic workflows can require advanced Python scripting and a deep understanding of Airflow's DAG structure. Additionally, developers frequently collaborate with data engineers and analysts to optimize pipeline performance and maintain data integrity, making strong communication and problem-solving skills essential.

Are Python coders still in demand?

Python developers, including those working with Apache Airflow, are in high demand due to Python's versatility in data engineering, automation, and cloud environments. Skills in frameworks, scripting, and cloud platforms increase employability, and Python remains a core language in many tech roles. Continuous learning and certifications can further enhance job prospects.

What are the key skills and qualifications needed to thrive as an Apache Airflow Python Developer, and why are they important?

To thrive as an Apache Airflow Python Developer, you need expertise in Python programming, workflow orchestration concepts, and a solid understanding of data engineering principles, often backed by a degree in computer science or a related field. Familiarity with Airflow's DAGs, scheduling, and integration with cloud platforms (like AWS or GCP), as well as version control systems such as Git, is typically required. Strong problem-solving, collaboration, and communication skills help you efficiently design workflows and work with cross-functional teams. These competencies are crucial for building reliable, scalable data pipelines that support organizational data needs.

Is Apache Airflow in demand?

Apache Airflow Python developers are in high demand due to the increasing need for workflow automation and data pipeline management in industries like tech, finance, and healthcare. Skills in Python, cloud platforms, and orchestration tools enhance job prospects, with many roles requiring experience in deploying and maintaining Airflow environments.

What is the highest paying job in Python?

The highest paying Python-related jobs typically include roles such as Machine Learning Engineer, Data Scientist, and Software Architect, especially in industries like finance, technology, and healthcare. These positions often require advanced skills, experience, and sometimes certifications, with salaries exceeding six figures in many regions.

What is the difference between Apache Airflow Python vs Data Engineer?

AspectApache Airflow PythonData Engineer
Primary FocusWorkflow orchestration and automationData pipeline development and management
Required SkillsPython scripting, DAG creation, schedulingSQL, ETL processes, cloud platforms
Work EnvironmentData workflows, automation toolsData warehouses, cloud environments
CertificationsPython, Apache Airflow certificationsData engineering certifications (e.g., Google Cloud, AWS)

While Apache Airflow Python specializes in automating and scheduling data workflows using Python, Data Engineers focus on designing, building, and maintaining data pipelines across various platforms. Both roles require Python skills, but Data Engineers typically have broader expertise in databases, cloud services, and data architecture.

Does Apache Airflow use Python?

Yes, Apache Airflow is primarily written in Python and uses Python scripts for defining workflows and tasks. Python knowledge is essential for developing, maintaining, and troubleshooting Airflow DAGs and operators.

What is an Apache Airflow Python developer?

An Apache Airflow Python developer is a software engineer who specializes in building, deploying, and maintaining data workflows using Apache Airflow, primarily utilizing the Python programming language. They create Directed Acyclic Graphs (DAGs) in Python to automate and orchestrate complex data pipelines. Their responsibilities often include integrating various data sources, managing dependencies, monitoring task execution, and optimizing performance. This role is crucial in data engineering and ETL (Extract, Transform, Load) processes, ensuring reliable and scalable workflow automation.
Infographic showing various Apache Airflow Python job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

Specialist - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Raleigh, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Mandatory Skills Apache Airflow Python
Optional skills Java Kafka
Location US East Coast preferred
Job Description
Strong handson experience with Apache Airflow and Python
Proficient in Python scripting for Airflow DAGs
Experience with Airflow plugins custom operators and sensors
Knowledge of data pipeline orchestration best practices
Experience with Apache NiFi nice to have
Familiarity with Cloud platforms AWSGCPAzure and onpremises environments
Understanding of CICD pipelines and version control eg Git is a plus
Exposure in Apache Kafka brokers topics partitions replication preferred
Experience with Kafka Connect Schema Registry and Kafka Streamspreferred
Exposure to Data Warehousing concepts and SQL
Experience with Data Lakes preferred
Agile Scrum experience in live projects
Ability to develop execute tests analyze data identify defects and fix issue
Exposure to Banking domain especially Treasury is a plus

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