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Airflow Developer Jobs in Novato, CA (NOW HIRING)

Redwood Materials

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Develop and orchestrate pipelines using tools such as Dagster or Airflow, and manage transformations with dbt. * Apply CI/CD and sound software engineering practices (version control, testing, code ...

Factory

Software Engineer, Data

San Francisco, CA · On-site

$134K - $162K/yr

Software Engineer, Data Responsibilities Factory is bringing autonomy to software engineering, and ... like dbt, Airflow, or Dagster. * Experience supporting or building business intelligence ...

Redwood Materials

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Develop and orchestrate pipelines using tools such as Dagster or Airflow, and manage transformations with dbt. * Apply CI/CD and sound software engineering practices (version control, testing, code ...

Kodiak

Staff Machine Learning Engineer - Data

San Francisco, CA · On-site

$134K - $162K/yr

Kodiak is seeking Machine Learning Engineers focussing on data, pipelines and tooling to help build ... Work with ML team to automate existing and new pipelines using AirFlow/Metaflow like orchestration ...

Factory

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... like dbt, Airflow, or Dagster. • Experience supporting or building business intelligence ... integrate into existing engineering workflows and tools. Founded in 2023, the company is ...

OpenAI

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The Data Engineer will lead the development of data pipelines and core tables, collaborating with ... such as Airflow, Dagster, Prefect or similar frameworks • Solid understanding of Spark and ...

Factory

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... like dbt, Airflow, or Dagster. • Experience supporting or building business intelligence ... integrate into existing engineering workflows and tools. Founded in 2023, the company is ...

Perficientcorp Inc

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Familiarity with SQL performance tuning and query optimization Experience with Airflow or other orchestration tools Exposure to real-time data processing (Kinesis, Kafka) Knowledge of DevOps ...

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All JobsAirflow Developer JobsAirflow Developer Jobs in Novato, CA

Airflow Developer information

See Novato, CA salary details

$20

$62

$95

How much do airflow developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for airflow developer in Novato, CA is $62.04, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $75.91 per hour, depending on experience, location, and employer.

What is an Airflow developer?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

What are the key skills and qualifications needed to thrive as an Airflow developer, and why are they important?

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

What are popular job titles related to Airflow Developer jobs in Novato, CA?

For Airflow Developer jobs in Novato, CA, the most frequently searched job titles are:

What cities near Novato, CA are hiring for Airflow Developer jobs?

Cities near Novato, CA with the most Airflow Developer job openings:

Airflow Developer jobs near you
Infographic showing various Airflow Developer job openings in Novato, CA as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 93% In-person, 3% Hybrid, and 4% Remote job distribution, with an average salary of $129,035 per year, or $62 per hour.

Senior Analytics Engineer

Redwood Materials

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Re-posted yesterday

Redwood Materials rating

7.6

Company rating: 7.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

24th of 90 rated recycling and waste

Job description

About Redwood Materials
Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling - keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we're delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.
About Redwood Materials
Redwood Materials is building a circular supply chain for batteries. Founded in 2017, we recover, reuse, and recycle end-of-life batteries and manufacturing scrap, and use the recovered materials to produce battery components domestically and power energy storage installations. Our goal is to reduce the cost and environmental footprint of batteries by keeping critical minerals in circulation.
About the Role
Our central data and analytics team builds and operates the data pipelines that power reporting, analytics, and automation across Redwood. This is a hands-on engineering role: the majority of our work is code-based data pipelining and automated data analyses. You will spend most of your time on code-based analysis and building and maintaining production pipelines rather than working in a BI tool.
You will work directly with stakeholders in finance, supply chain, and operations to understand what they need, scope technical solutions, and deliver reliable, automated data products. We are looking for someone who can translate a business conversation into a well-engineered pipeline and stand behind it in production.
What You'll Do
  • Build, deploy, and maintain production-grade automated data pipelines using Python and SQL.
  • Perform one-off and automated data-driven analyses using financial and supply chain models and calculations.
  • Scope technical pipeline and automation solutions based on conversations with users and an understanding of the underlying business value drivers.
  • Develop and orchestrate pipelines using tools such as Dagster or Airflow, and manage transformations with dbt.
  • Apply CI/CD and sound software engineering practices (version control, testing, code review) to data workflows.
  • Deploy and run pipelines on cloud infrastructure, and help maintain the reliability of what we ship.
  • Partner with finance, supply chain, and operations stakeholders to deliver the metrics, datasets, and automations they rely on.
  • Own delivery of your work end to end, including scoping, prioritization, and follow-through.

What We're Looking For
  • 3+ years building, deploying, and maintaining production data pipelines.
  • Minimum bachelor's degree in quantitative or technical field such as Data Engineering, Computer Science, Applied Math, etc. Graduate degree preferred.
  • Domain expertise in financial metrics or in supply chain and operations.
  • Strong Python and SQL.
  • Experience with orchestration tools such as Dagster or Airflow, and with dbt.
  • Working knowledge of cloud infrastructure.
  • Familiarity with CI/CD and good coding practices.
  • Ability to scope technical data pipeline solutions and automations from stakeholder conversations and business context.

Nice to Have
  • Experience with AWS.
  • Domain expertise across both financial metrics and supply chain/operations.
  • Project management skills.
  • Experience with Starburst and OpenMetadata.

The position is full-time. Compensation will be commensurate with experience.
We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.

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