Apache Airflow Jobs in USA

What You Need to Know

Apache Airflow careers involve building, scheduling, and monitoring data workflows to ensure smooth, automated data pipeline operations across tech-driven organizations.

Airflow is a powerful tool for orchestrating complex data workflows, and mastering it opens doors to numerous opportunities in data engineering. - Marc Lamberti, Head of Customer Education at Astronomer

What is Apache Airflow, and why is it important in data engineering?

Apache Airflow is an example of a multi-purpose open-source framework that can be used for writing, scheduling, and monitoring staged workflows. In data engineering, Airflow is effective in automating complex data pipelines by ensuring that processes within the system are completed in a sequential manner and within the appropriate timeframe. It is widely used across industries for managing ETL (Extract, Load, and Transform) processes due to its great flexibility and scalability.

What job roles commonly require Apache Airflow skills?

As a professional in Data Engineering, Data ETL Development, or Data Pipeline Engineering, it is expected that you have hands-on experience with Apache Airflow. The job roles focus on designing and maintaining data workflows to confirm seamless data movement and processing between various systems. As more companies rely on data to make decisions, the need to have professionals with Airflow skills is growing rapidly.

What skills are essential for a career involving Apache Airflow?

Key Areas of Expertise include Writing and Understanding Databases, Basic URL Addressing Protocol, and Proficiency with the Data Processing Language known as Python. The understanding of Directed Acyclic Graphs (DAGs) and data pipelines is important. Understanding with cloud computing, version control systems, and various databases help in operating Airflow.

Are there certifications available for Apache Airflow?

Yes, certifications such as the Astronomer Certification for Apache Airflow Fundamentals test your knowledge of Airflow’s fundamental components, like architecture, DAGs, and task lifecycles. Obtaining such certifications can show your competencies and add value to your professional career.

What is the average salary for professionals skilled in Apache Airflow?

Salaries vary based on role and experience. Data engineers with Apache Airflow skills can expect to earn between $65,000 to $149,000 a year. In India, professionals with Airflow expertise earn an average of ₹32.3 lakhs a year, with a range from ₹17.4 lakhs to ₹183.2 lakhs. You can learn more about AI Safety Jobs salaries here.

Understanding Airflow's architecture and best practices is essential for building reliable and scalable data pipelines. - Rui Carvalho, Data Engineer and Author

How can beginners start learning Apache Airflow effectively?

Begin with the hands-on walkthroughs available on the official Apache Airflow documentation. For self-study, try YouTube, Astronomer Academy, or other similar sites. To Master the creation of DAGs, one should design small projects such as scheduling daily ETL jobs. Being part of the Airflow community on Slack and Reddit is very useful for gaining insights into real-world problems.