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Airflow Jobs in California (NOW HIRING)

Rays Techsolutions Inc.

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Strong hands-on experience with Databricks , AWS , PySpark , Python , SQL , and Apache Airflow . * Experience with Delta Lake , Lakehouse Architecture , ETL/ELT pipelines, and data modeling.

MSR Cosmos

AWS Data Architect

Torrance, CA · On-site

$67.50 - $88.75/hr

Torrance CA 4 days onsite Duration: Long Term Seeking an AWS data architecture solutions leveraging MWAA Apache Airflow Athena Aurora and Quick Sight Design develop and maintain scalable data ...

Rivian

Staff Thermal Attributes Engineer

Irvine, CA · On-site

$154K - $192K/yr

You will own front-end airflow requirements, vehicle-level Active Grille Shutter (AGS) strategy, overall underhood thermal performance, and final vehicle-level validation for all vehicle programs.

Tailored Management

HVAC Engineer

Vacaville, CA

$70/hr

Ductwork and airflow distribution systems * Heating, cooling, humidification, and filtration systems * Perform engineering calculations related to airflow, cooling/heating loads, pressure ...

Rivian

Staff Thermal Attributes Engineer

Irvine, CA · On-site

$154K - $192K/yr

You will own front-end airflow requirements, vehicle-level Active Grille Shutter (AGS) strategy, overall underhood thermal performance, and final vehicle-level validation for all vehicle programs.

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All JobsAirflow JobsAirflow Jobs in California

Airflow information

See California salary details

$21.7K

$147.6K

$190K

How much do airflow jobs pay per year?

As of Aug 17, 2026, the average yearly pay for airflow in California is $147,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $164,800.00 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 roles in Airflow?

Roles in Airflow typically include developers, data engineers, and DevOps engineers who design, build, and maintain workflows using Airflow's DAGs and operators. These roles require knowledge of Python, scheduling, and monitoring workflows, often involving collaboration within data teams. Responsibilities may also include troubleshooting, optimizing performance, and ensuring reliable data pipeline execution.

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 are the most commonly searched types of Airflow jobs in California?

The most popular types of Airflow jobs in California are:

What are popular job titles related to Airflow jobs in California?

For Airflow jobs in California, the most frequently searched job titles are:

What job categories do people searching Airflow jobs in California look for?

The top searched job categories for Airflow jobs in California are:

What cities in California are hiring for Airflow jobs?

Cities in California with the most Airflow job openings:

Airflow jobs near you
Infographic showing various Airflow job openings in California as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, 2% Temporary, and 6% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $147,586 per year, or $71 per hour.

Data Engineer (Python/pyspark/GCP/Airflow)

Redolent, Inc.

Sunnyvale, CA • On-site

$136K - $163K/yr

Contractor

Re-posted 8 days ago

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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