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Airflow Jobs (NOW HIRING)

Data Airflow

Project Engineer

Boise, ID · On-site

About Your Role Data Airflow engineers the flow of data and air through complex infrastructure, delivering mission-critical data center cooling and related engineered systems. The Project Engineer ...

Data Airflow

Project Manager

Boise, ID · On-site

$90K - $120K/yr

Why Join Data Airflow? We're a growing, founder-led company solving real problems for modern data teams - and most importantly - we listen to the people doing the work. Data Airflow is a fast-growing ...

Data Airflow

Microsoft Cloud Administrator

Boise, ID · On-site

About Your Role Data Airflow engineers the flow of data and air through complex infrastructure. The Microsoft Cloud Administrator owns and operates our all-cloud Microsoft environment, including ...

Data Airflow

Project Engineer

Boise, ID · On-site

About Your Role Data Airflow engineers the flow of data and air through complex infrastructure, delivering mission-critical data center cooling and related engineered systems. The Project Engineer ...

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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Airflow information

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$22K

$149.5K

$192.5K

How much do airflow jobs pay per year?

As of Jul 13, 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 jobs pay $500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain technology, finance, and legal positions with extensive experience, advanced skills, or ownership stakes also reach this level of compensation.

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 jobs pay 4000 a week without a degree?

In the field of Airflow and related data engineering roles, high-paying positions such as freelance consultants or specialized contractors can earn around $4,000 weekly without a formal degree, often based on experience, skills in cloud platforms, and automation tools. These roles typically require strong technical expertise, certifications, and the ability to manage complex workflows independently. Such jobs are often project-based or contract roles with flexible schedules.

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.

What is an Airflow job?

An Airflow job, often called a DAG (Directed Acyclic Graph), is a set of scheduled or triggered tasks that automate data workflows. As an Airflow professional, you design, implement, and monitor these workflows using the Apache Airflow platform, which requires knowledge of Python and data pipeline management. The role involves ensuring tasks run reliably and efficiently within a data environment.

What does an Airflow worker do?

An Airflow worker executes tasks assigned by the Airflow scheduler within a data pipeline. They run individual jobs, process data, and report task status, often requiring knowledge of Python and command-line tools. Workers operate in a distributed environment and are essential for managing scalable, automated workflows.
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Airflow jobs near you
Infographic showing various Airflow job openings in the United States as of July 2026, with employment types broken down into 5% Internship, 74% Full Time, 5% Part Time, and 16% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $149,544 per year, or $71.9 per hour.
Data Engineer (Python/pyspark/GCP/Airflow)

Data Engineer (Python/pyspark/GCP/Airflow)

Redolent, Inc.

Sunnyvale, CA • On-site

$136K - $163K/yr

Contractor

Posted 3 days ago

New

Job description

We are actively looking for a Data Engineer In Sunnyvale CA or Remote
TITLE: Data Engineer
LOCATION: Sunnyvale CA or
Remote Duration: 6+ Months
Rate: DOE
Key skills - Apache Spark, Python, GCP, BigQuery, Dataflw, Airflow,
Description:
  • 7+ years of experience in Data engineering build, and maintain robust data pipelines using Apache Spark and Python.
  • Develop and manage workflow orchestration using Apache Airflow.
  • Implement scalable data solutions on Google Cloud Platform (GCP) using services like BigQuery, Cloud Storage, Dataflow, and Vertex AI. collaborate with data scientists to embed machine learning models into production-grade data pipelines. Ensure high performance, reliability, and scalability of data systems.
  • Monitor, troubleshoot, and optimize data workflows and ML model performance.
  • Maintain documentation and follow best practices for version control, testing, and deployment.
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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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