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Airflow Jobs (NOW HIRING)

Burke Aerospace

Airflow Operator - SC 2nd shift

Greenville, SC · On-site

$16.75 - $22.25/hr

Summary The Airflow Operator is responsible for performing airflow testing and other of tasks related to operation of turbine engine parts. Responsibilities * Perform air flow testing on turbines ...

Burke Aerospace

Airflow Operator - SC 1st shift

Greenville, SC · On-site

$16.75 - $22.25/hr

Description Summary The Airflow Operator is responsible for performing airflow testing and other of tasks related to operation of turbine engine parts. Responsibilities * Perform air flow testing on ...

Burke Aerospace

Airflow Operator - SC 2nd shift

Greenville, SC · On-site

$16.75 - $22.25/hr

Summary The Airflow Operator is responsible for performing airflow testing and other of tasks related to operation of turbine engine parts. Responsibilities * Perform air flow testing on turbines ...

EDB

Solutions Engineer(Python/Airflow)

Build and monitor automated workflows and data pipelines using Airflow and dbt . * Design and implement secure, scalable RESTful APIs . * Manage and deploy applications within an AWS environment ...

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$149.5K

$192.5K

How much do airflow jobs pay per year?

As of Jun 5, 2026, the average yearly pay for airflow in the United States is $149,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $167,000.00 per year, depending on experience, location, and employer.

What is an Airflow job?

An Airflow job typically involves designing, developing, and maintaining workflows using Apache Airflow, an open-source workflow automation tool. Professionals in this role create data pipelines, schedule tasks, and optimize workflow execution for reliability and efficiency. They work with data engineering teams to ensure smooth data processing and integration across various systems. Knowledge of Python, DAG creation, and troubleshooting Airflow issues is essential for success in this role.

What are the key skills and qualifications needed to thrive in the Airflow position, and why are they important?

To thrive as an Apache Airflow Engineer, you need a solid background in Python programming, workflow orchestration, and data engineering concepts, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, cloud platforms (such as AWS or GCP), and version control systems (like Git) is highly beneficial, along with relevant certifications in big data or cloud technologies. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for managing complex workflows and collaborating with cross-functional teams. These skills ensure efficient data pipeline automation, maintain data integrity, and enable seamless cooperation in modern data-driven environments.

What are the typical responsibilities of someone working with Apache Airflow?

Professionals working with Apache Airflow are primarily responsible for designing, developing, and maintaining data pipelines that automate the flow of information between systems. Their daily tasks often include writing and optimizing DAGs (Directed Acyclic Graphs), monitoring workflow execution, troubleshooting errors, and ensuring data quality across processes. They frequently collaborate with data engineers, analysts, and other IT teams to integrate new data sources and support evolving business needs. This role demands a proactive approach to addressing data pipeline issues and a strong commitment to maintaining reliable and efficient workflow orchestration.

More about Airflow jobs
What cities are hiring for Airflow jobs? Cities with the most Airflow job openings:
What are the most commonly searched types of Airflow jobs? The most popular types of Airflow jobs are:
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Airflow jobs near you
Infographic showing various Airflow job openings in the United States as of May 2026, with employment types broken down into 100% Nights. Highlights an 100% In-person job distribution, with an average salary of $149,544 per year, or $71.9 per hour.

Airflow Orchestration - Solutions Architect

Precision Technologies Corp

Iselin, NJ • On-site

Contractor

Posted 12 days ago

Job description

Role: Airflow Orchestration - Solutions Architect

Location: Iselin NJ:  Hybrid (2-3 Days) / week

Type: Long Term Contract

Face to Face interview is must

The role:

The Solutions Architect specializing in Cloud Orchestration, will work with a small group of technologists and become a trusted advisor delivering technical solutions leveraging Apache Airflow hosted on the Astronomer platform. In this role, he will engineer a wide range of use cases where, Apache Airflow sits at the center of the solution, with the goal of rapidly developing solutions for the use cases.

  • Help guide a small group of technologists in their Apache Airflow journeys, including identifying new use cases and onboarding new domain teams.
  • Review, optimize, and tune data ingestion and extraction pipelines orchestrated by Airflow.
  • Development of frameworks to manage and engineer a large number of pipelines for the entire domain.
  • Build architecture, data flow, and operational diagrams and documents, with detailed physical and logical layers.
  • Provide reference implementations of various activities, including composing data pipelines in Airflow, implementing new Airflow features, or integrating Airflow with 3rd party solutions.
  • Keep up with the latest Astro and Airflow features, in order to better advise the technologies on impactful improvements they can make.
  • Collaborate to build reusable assets, automation tools, and documented best practices.
  • Interact with Domain and Engineering teams to channel product feedback and requirements discussions.
  • Work with technology team members to ensure that are realizing value in their Airflow and Astronomer journeys

Skills Required:

  • Experience with Apache Airflow in production environments.
  • Experience in designing and implementing ETL, Data Warehousing, and ML/AI use cases.
  • Proficiency in Python.
  • Knowledge of Azure cloud-native data architecture.
  • Demonstrated technical leadership on team projects.
  • Strong oral and written communication skills.
  • Willingness to learn new technologies and build reference implementations.
  • Experience in migrating workflows from legacy schedulers (Tidal) to Apache Airflow.
  • Experience in integrating with Azure Data Factory pipelines.
  • Experience
  • Snowflake and Databricks experience.
  • Experience working with containers.
  • SQL experience.
  • Kubernetes experience, either on-premise or in the cloud.
  • Enterprise data experience in regulated environments.