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Airflow Jobs in California (NOW HIRING)

TASI Measurement

Sales and Service Engineer

Santa Rosa, CA · On-site

$80 - $100/hr

Airflow measurement is not a "one size fits all" business. We offer standard solutions for common applications and custom solutions that will fit our customer's unique needs. Markets served include ...

Tyndall HVAC Inc

HVAC Technician

Antioch, CA · On-site

$25 - $45/hr

Install new heating, ventilation, and air conditioning systems Install or modify ventilation systems for better airflow Understanding airflow Reading and interpreting wiring diagrams Understanding ...

Mixpeek

Contract Analytics Engineer

San Francisco, CA · On-site

$100 - $125/hr

Snowflake and dbt, Airbyte and Airflow, PostHog events, Stripe and Metronome billing, Hex on top. It was stood up quickly by our backend team and interim help, and it now powers real decisions ...

Tyndall HVAC Inc

HVAC Technician

Antioch, CA · On-site

$25 - $45/hr

Install new heating, ventilation, and air conditioning systems Install or modify ventilation systems for better airflow Understanding airflow Reading and interpreting wiring diagrams Understanding ...

ClifyX

Python Automation TEster

Irvine, CA · On-site

... Airflow and Pyspark experience. Qualifications : Required : • Experience of 7+ years in Test Automation • Experience in test automation using Pytest/Python • Experience working on AWS and ...

Tyndall HVAC Inc

HVAC Technician

Antioch, CA · On-site

$25 - $45/hr

Install new heating, ventilation, and air conditioning systems Install or modify ventilation systems for better airflow Understanding airflow Reading and interpreting wiring diagrams Understanding ...

Comfy

Contract Analytics Engineer

San Francisco, CA · On-site

$200 - $250/hr

Snowflake and dbt, Airbyte and Airflow, PostHog events, Stripe and Metronome billing, Hex on top. It was stood up quickly by our backend team and interim help, and it now powers real decisions ...

Lorven Technologies, Inc.

DBT Developer

Pleasanton, CA · On-site

Pleasanton, CA Seeking a DBT & SQL Developer with AWS experience, Airflow knowledge is a plus. * Bachelor's degree in related field. * Demonstrate strong hands on experience using Airflow to ...

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Showing results 21-40

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 Sep 7, 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 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 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 environment management to ensure reliable data pipeline execution.

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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $147,586 per year, or $71 per hour.

Technical Lead-Data Engineer

Tata Consultancy Service Limited

Irvine, CA • On-site

$130K - $200K/yr

Full-time

Posted 16 days ago

Job description

Technical Lead Data Engineering
Role Overview
We are looking for a highly skilled Tech Lead Data Engineering to guide our engineering team in building and scaling a robust, modern data platform. In this role, you will be the bridge between architectural blueprints and engineering execution. You will remain deeply hands-on with our core stackDatabricks, dbt, and Apache Airflowwhile mentoring engineers, conducting rigorous code reviews, and ensuring the delivery of high-quality data products.
Key Responsibilities
Technical Leadership & Delivery
• Lead a team of data engineers to execute sprint goals, managing code quality and delivery timelines.
• Act as the subject matter expert (SME) for the team on Databricks, dbt, and Airflow best practices.
• Enforce engineering standards, including code modularity, documentation, and version control.
• Conduct comprehensive code reviews to ensure scalability, security, and performance.
⚙️ Hands-on Engineering & Optimization
• Build and maintain production-grade data pipelines using PySpark, Delta Live Tables (DLT), and Spark SQL on Databricks.
• Develop complex dbt models, custom macros, and tests to transform raw data into analytics-ready layers.
• Author and schedule sophisticated Apache Airflow DAGs, utilizing dynamic task mapping and custom operators.
• Optimize pipeline performance by troubleshooting bottlenecked Spark jobs, Z-Ordering Delta tables, and tuning Airflow schedulers.
DataOps & Governance
• Implement and manage CI/CD pipelines for data deployments using toolsets like GitHub Actions or Azure DevOps.
• Enforce data governance policies, access controls, and lineage tracking via Databricks Unity Catalog.
• Integrate automated data quality testing and alerting mechanisms across dbt and Airflow workflows.
Mentorship & Collaboration
• Mentor and upskill junior and mid-level data engineers through pair programming and workshops.
• Translate architectural designs into actionable, granular engineering tasks and JIRA tickets.
• Collaborate closely with data architects, product managers, and downstream data analysts.
Required Qualifications:
• 10+ years of professional experience in data engineering and backend software development.
• 2+ years of experience in a technical lead, team lead, or mentoring capacity.
Technical Proficiencies
• Databricks: Strong hands-on experience with Delta Lake, Unity Catalog, and optimizing PySpark workloads.
• dbt: Proficiency with dbt Core or Cloud, including advanced macros, packages, and custom testing.
• Airflow: Solid experience writing complex, rel iable DAGs, handling task failures, and managing dependencies.
• Languages: Advanced proficiency in Python and expert-level SQL writing.
• Cloud Platforms: Hands-on experience deploying data solutions on at least one cloud provider (AWS, Azure, or GCP).
Leadership Skills
• Proven ability to guide engineering sprint velocity and resolve technical blockers for a team.
• Excellent verbal and written communication skills to articulate technical trade-offs.
Salary Range- $130,000-$200,000 a year

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