1

Airflow Developer Jobs in California (NOW HIRING)

Sr. Data Engineer

Santa Clara, CA · On-site

$150K - $220K/yr

Architect, develop, and deploy batch and streaming pipelines using Airflow and containerized ... Enforce software engineering best practices: CI/CD, code reviews, automated testing, and ...

Sr. Data Engineer

Santa Clara, CA · On-site

$150K - $220K/yr

Architect, develop, and deploy batch and streaming pipelines using Airflow and containerized ... Enforce software engineering best practices: CI/CD, code reviews, automated testing, and ...

Python Developer

Irvine, CA · On-site

$54 - $74.25/hr

Knowledge of Apache Airflow or any Workflow management tool (Good to have) * Knowledge of DevOps is plus and good to have. * Should have learning mindset to learn and perform POC on new advanced ...

Python Developer

Irvine, CA · On-site

$54 - $74.25/hr

Knowledge of Apache Airflow or any Workflow management tool (Good to have) * Knowledge of DevOps is plus and good to have. * Should have learning mindset to learn and perform POC on new advanced ...

DevOps Engineer:

Sunnyvale, CA · On-site

$61.50 - $84.25/hr

Info Way Solutions is a company seeking a DevOps Engineer. The role involves managing AWS resources ... Managed Airflow , DAG , VPC, subnets, ALB, NLB, etc since we use all of these in our day-to-day ...

Info Way Solutions is seeking a Spark & Scala Developer. The role involves building and supporting ... Hive, Airflow. Shell scripting. • Strong knowledge of Spark Engine, Pyspark or Scala. • ...

AWS DevOps Consultant Location: Irvine or Los Angeles - must be onsite Length: 6 months Must have ... Familiarity with Batch Orchestration tools like Apache Airflow. * Experience with Terraform or ...

AWS DevOps Consultant Location: Irvine or Los Angeles - must be onsite Length: 6 months Must have ... Familiarity with Batch Orchestration tools like Apache Airflow. * Experience with Terraform or ...

Showing results 21-40

Airflow Developer information

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.

Does Airflow require coding?

Airflow developers typically need to have programming skills in Python, as workflows are defined using code. Coding knowledge is essential for creating, maintaining, and troubleshooting data pipelines in Airflow.

Is Airflow part of DevOps?

An Airflow Developer works with Apache Airflow, a platform used to programmatically author, schedule, and monitor workflows. While Airflow is often employed within DevOps environments to automate data pipelines and deployment processes, it is not inherently part of DevOps but complements DevOps practices by enabling automation and orchestration. Knowledge of CI/CD tools and infrastructure management is beneficial for such roles.

What cities in California are hiring for Airflow Developer jobs?

Cities in California with the most Airflow Developer job openings:

Infographic showing various Airflow Developer job openings in California as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Sr. Data Engineer

Versa Networks

Santa Clara, CA • On-site

$150K - $220K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago


Key responsibilities

  • Design, develop, and deploy batch and streaming data pipelines using Airflow, Docker, Kubernetes, and Helm.

  • Build and optimize high-throughput data transformations with Dask or Apache Spark, and maintain training data clusters across hybrid environments.

  • Implement monitoring, troubleshooting, and resolve data-processing failures to ensure pipeline reliability and SLA adherence.


Job description

About Us

At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure Service Edge), SASE (Secure Access Service Edge) and Next-generation Managed Services, we are empowering organizations across the globe to transform their IT infrastructure for the modern cloud era. Our innovative products enable enterprises to deliver a seamless, scalable, and secure digital experience, no matter where their users, devices, or applications are located. Founded by industry veterans and backed by premier venture capital firms, Versa is a market leader driving innovation and growth as it positions itself for a future IPO.

We believe in fostering a culture of innovation, collaboration, and customer success. Our team is comprised of passionate, forward-thinking professionals dedicated to driving the future of networking technology. We encourage creativity, offer opportunities for growth, and provide a dynamic environment where our people can thrive and make an impact.

At Versa Networks, we don’t just build products – we build relationships, elevate businesses, and shape the digital future. Join us and be part of a fast-paced, cutting-edge company that's making a real difference in how the world connects and communicates.

Job Summary

We’re seeking a highly skilled Data Engineer to design, build, and maintain production-grade data pipelines that process and transform terabytes of data. In this role, you’ll collaborate closely with data scientists and other SWEs to ensure that our data infrastructure is scalable, reliable, and cost-effective.

Responsibilities
  • Pipeline Development & Deployment:
    • Architect, develop, and deploy batch and streaming pipelines using Airflow and containerized workflows for cyber-security use-cases.
    • Containerize data-processing jobs with Docker, orchestrate with Kubernetes, and manage releases with Helm charts.
  • Distributed Computing:
    • Build high-throughput data transformations using Dask or Apache Spark.
    • Maintain training data clusters across hybrid (on-prem and cloud environments).
    • Optimize training jobs for performance, resiliency, and cost.
  • Monitoring & Reliability:
    • Implement observability (logging, metrics, alerting) to maintain pipeline health and SLA adherence.
    • Troubleshoot, debug, and resolve data-processing failures in production.
  • Collaboration & Best Practices:
    • Work with cross-functional teams to define data contracts, schemas, and quality checks.
    • Enforce software engineering best practices: CI/CD, code reviews, automated testing, and documentation.
  • Data Modeling & Storage:
    • Design and maintain data models and schemas for AI/ML continuous training use cases.
    • Load data into cloud storage and lakes, ensuring performance and accessibility.

Requirements

Qualifications
  • 3–5 years of professional experience designing and operating production data pipelines at scale.
  • Containerization & Orchestration: Expertise with Docker, Kubernetes, and Helm.
  • Workflow Management: Hands-on experience building DAG-based pipelines in Apache Airflow.
  • Programming: Strong proficiency in Python for data engineering tasks.
  • Distributed Frameworks: Practical experience with Dask or Apache Spark for large-scale data processing.
  • Cloud Fundamentals: Familiarity with deploying and managing services in a cloud environment.
  • Compiled Languages: Experience writing data services in Go or Rust.
  • GCP Proficiency: Hands-on with Google Cloud services (e.g., Pub/Sub, Big Query, Cloud Storage, GKE).  Equivalent experience in other public cloud providers is fine.
  • ML Pipelines: Exposure to deploying cross-cluster model-training workflows using Ray or similar frameworks.
  • Infrastructure as Code: Familiarity with Terraform for deployment.
  • Security & Compliance: Knowledge of data governance, encryption, and role-based access control.

Location: United States
*Applicants must be authorized to work in the US

The pay range for this position at commencement of employment in California, Washington, or New York City is expected in the range of $150,000 to $220,000. A candidate’s specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs.

Benefits

Why Versa?

At Versa Networks, we believe in taking care of our people – both professionally and personally. We offer a comprehensive benefits package designed to support the well-being, growth, and work-life balance of our employees. When you join our team, you can expect:

  • Competitive Salary & Incentives: We offer a competitive compensation package with and pre-IPO equity to reward your hard work and dedication.
  • Health & Wellness: Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay healthy and covered.
  • Paid Time Off (PTO): Enjoy a generous PTO policy that includes vacation days, sick leave, and paid holidays to recharge and take care of personal matters.
  • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best for you.
  • Professional Development: We believe in continuous learning. Access to training, certifications, and educational resources to help you grow in your career and stay ahead of industry trends.
  • Employee Recognition: We celebrate achievements both big and small, with regular recognition programs and awards that highlight your contributions to our collective success.
  • Collaborative Culture: Be part of a dynamic, inclusive, and supportive team where innovation and collaboration are at the heart of everything we do.
  • Parental Leave: Generous parental leave policies to support you during life's important moments.

At Versa Networks, our benefits are designed to help you thrive both inside and outside the office. Join us and experience a rewarding, fulfilling career in a supportive environment that values your health, happiness, and success.

Versa Networks is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.