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Apache Airflow Python Jobs (NOW HIRING)

Apache Airflow Data Engineer

$117K - $140K/yr

... in Python and its frameworks. • Strong understanding of data warehouse concepts and ETL tools (like Informatica, Pentaho, Apache Airflow). • Experience working in SQL environment and with ...

Recent software development experience using Python and Java * Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows

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Data Engineer

Las Vegas, NV · On-site

$109K - $131K/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 ...

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Data Engineer

Las Vegas, NV · On-site

$109K - $131K/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 ...

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Responsibilities - Design, build, and optimize robust, scalable ETL/ELT data pipelines using GCP technologies, Apache Beam, Airflow, Python, and SQL - Lead technical decision-making, set engineering ...

Develop and orchestrate ETL and ML pipelines with Apache Airflow, ensuring reliability, scalability ... Python development experience, with strong object-oriented programming and software engineering ...

Python Developer

Charlotte, NC · On-site

$55 - $75/hr

Develop and orchestrate ETL and ML pipelines with Apache Airflow, ensuring reliability, scalability ... Python development experience, with strong object-oriented programming and software engineering ...

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Apache Airflow Python information

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$55K

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How much do apache airflow python jobs pay per year?

As of Sep 8, 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 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.

What are the key skills and qualifications needed to thrive as an Apache Airflow Python developer?

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.

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.

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 to define, schedule, and monitor workflows. Python knowledge is essential for developing and maintaining Airflow DAGs and tasks.

What other helpful pages are available for Apache Airflow Python?

Other pages related to Apache Airflow Python:

Infographic showing various Apache Airflow Python job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 88% Full Time, 4% Part Time, and 5% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

Apache Airflow Data Engineer

Remote

InterSources Inc
Recruiting and Staffing Services • 51 - 200 employees

$117K - $140K/yr

Full-time

Re-posted 13 days ago


Job description

Job Summary:
InterSources Inc is a Certified Diverse Supplier and an Award-Winning Global Software Consultancy that offers innovative solutions for Digital Transformations. They are seeking an Apache Airflow Data Engineer to perform data loading operations, optimize data for reporting, manage databases, design ETL jobs, and maintain data pipelines.
Responsibilities:
• Perform and oversee data loading operations.
• Optimize data for extraction and reporting use.
• Manage complicated databases by performing suitable database management functions.
• Design and implement ETL jobs.
• Build, maintain, monitor, and orchestrate workflows or data pipelines.
• Ensure the high performance of data retrieval processes.
Qualifications:
Required:
• Bachelor's/master's degree in computer science or IT (or equivalent experience).
• 3+ years of industry experience as an Apache Airflow developer (rare exceptions for highly skilled candidates).
• Proficiency in Apache Airflow development.
• Expertise in Python and its frameworks.
• Strong understanding of data warehouse concepts and ETL tools (like Informatica, Pentaho, Apache Airflow).
• Experience working in SQL environment and with reporting tools (like Power BI and Qlik).
• Fluency in English to collaborate with engineering managers.
Preferred:
• Familiarity with Apache Hadoop, HDFS, Hive, etc.
• Excellent troubleshooting and debugging skills.
• Ability to work independently as well as with multi-disciplinary teams.
• Working knowledge of agile processes and methods.
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

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