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Airflow Developer Jobs in Novato, CA (NOW HIRING)

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The ideal candidate should have hands-on experience with BigQuery, Apache Airflow, SQL, DBT (Data Build Tool), and Google Cloud Platform services . Required Skills * 5+ years (Developer) / 6-10 years ...

Senior DevOps Engineer

San Francisco, CA · On-site

$153K - $196K/yr

... Airflow, temporal on kubernetes and cloud. * Implement and harden operational tooling for ... About you: * 7+ years of experience in DevOps, Site Reliability Engineering (SRE), or ...

Senior DevOps Engineer

San Francisco, CA · On-site

$153K - $196K/yr

... Airflow, temporal on kubernetes and cloud. * Implement and harden operational tooling for ... About you: * 7+ years of experience in DevOps, Site Reliability Engineering (SRE), or ...

Work directly with Engineering, Operations, Battery Teams, Finance, and Supply Chain teams to ... Utilize dbt and Airflow as your toolkit to clean, transform, and move data into your application ...

We engineer and manufacture ground-breaking battery materials that significantly increase the ... Utilize dbt and Airflow as your toolkit to clean, transform, and move data into your application ...

We engineer and manufacture ground-breaking battery materials that significantly increase the ... Utilize dbt and Airflow as your toolkit to clean, transform, and move data into your application ...

We engineer and manufacture ground-breaking battery materials that significantly increase the ... Utilize dbt and Airflow as your toolkit to clean, transform, and move data into your application ...

They are looking for an experienced Data Developer to design, develop, and maintain their data ... Airflow and Spark. • Have developed scalable, real-time data pipelines using Python/Scala, SQL ...

Snowflake Developer

San Francisco, CA · On-site

$134K - $162K/yr

Tranzeal Incorporated is a company focused on data engineering solutions, and they are seeking a ... Airflow, Matillion, Fivetran, or similar) • Familiarity with Python for data processing and ...

About The Role We're hiring a Quantitative Developer to help turn research ideas into ... Skill with git, Docker, and modern orchestration tools (Prefect, Airflow, etc.). * Early‑stage ...

They are seeking a Software Engineer with strong experience in Apache technologies for both batch ... Airflow for workflow orchestration • Working knowledge of Apache Cassandra (NoSQL database) • ...

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

About the Role We're hiring a Quantitative Developer to help turn research ideas into production ... Skill with git, Docker, and modern orchestration tools (Prefect, Airflow, etc.). * Early-stage ...

Airflow, Dagster) for reliable, observable pipelines * Build and optimize large-scale data processing systems (batch + streaming where needed) * Partner closely with engineering and product to embed ...

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer Location: San Francisco and jersey city ( 3 days onsite 2 days remote) look for ... Use Airflow and Step Functions to orchestrate complex data workflows. • Data Modeling: Work with ...

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Airflow Developer information

See Novato, CA salary details

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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:

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.

Software Application Developer, Data Systems

Sila Nanotechnologies, Inc.

Alameda, CA • On-site

Full-time

Re-posted 14 days ago


Job description

Job Summary:
Sila Nanotechnologies, Inc. is a next-generation battery materials company focused on transitioning to clean energy. The Software Application Developer, Data Systems will work closely with various teams to develop software solutions that enhance data usability and performance, while also ensuring high-quality user experiences.
Responsibilities:
• Embedded Product Development: Work directly with Engineering, Operations, Battery Teams, Finance, and Supply Chain teams to identify bottlenecks and build bespoke software solutions that accelerate our "bits-to-atoms" cycle.
• Modern Front-End Engineering: Design and implement sophisticated, responsive user interfaces using React and modern state management libraries. Focus on creating high-density data visualizations that make complex battery performance data easy to interpret.
• Application Data Layer Architecture: Design and evolve Snowflake schemas and data models specifically optimized for high-performance application interfaces. You will ensure the data layer supports both rapid transactional workflows and deep analytical exploration.
• Data Orchestration: Utilize dbt and Airflow as your toolkit to clean, transform, and move data into your application-ready schemas, ensuring end-to-end data integrity.
• Modern Observability: Use Datadog, Sumo Logic, and StatsD to monitor user interaction patterns and application health, ensuring high availability for business-critical workflows.
• AI-Forward Features (RAG): Deploy Retrieval-Augmented Generation (RAG) patterns to build "smart" tools that allow our engineering teams to query technical specs, experimental results, and financial data using natural language.
Qualifications:
Required:
• Expert proficiency in React, TypeScript, and modern CSS-in-JS or Tailwind.
• Expert proficiency in Python (FastAPI, Flask).
• Advanced experience with Snowflake and dbt.
• Experience with Airflow or similar tools to manage application-specific data transformations.
• Hands-on experience with Infrastructure as Code (Terraform), CI/CD and container orchestration (Kubernetes).
• Practical experience building RAG architectures and integrating LLMs into production application workflows.
• Experience deploying native iOS applications for internal business purposes.
• B.S. or M.S. in Computer Science, Human-Computer Interaction, or a related engineering field.
• 6+ years for MS, 8+ years for BS of professional software development experience, preferably in hardware product technology and/or manufacturing environments.
• A proven track record of building complex internal tools for Operations, Engineering, Battery Teams, Finance, or Supply Chain teams that emphasize user-centric design and high data density.
• Strong bias for action and the ability to work autonomously in a fast-paced, multidisciplinary environment.
Preferred:
• Experience with data visualization libraries (e.g. Plotly, or Bokeh) is highly preferred.
Company:
We are Sila—a next generation battery materials company dedicated to accelerating energy transformation for a more sustainable future. Founded in 2011, the company is headquartered in Alameda, USA, with a team of 201-500 employees. The company is currently Growth Stage.