Versa Networks

Sr. Data Scientist

Versa Networks$150K — $220K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years of experience in production data pipelines
  • Expertise in Docker, Kubernetes, and Helm for containerization and orchestration
  • Hands-on experience with Apache Airflow for workflow management
  • Strong Python proficiency for data engineering tasks
  • Practical experience with Dask or Apache Spark for large-scale data processing
  • Familiarity with cloud deployment and management
  • Experience with Go or Rust for data services
  • Proficiency with Google Cloud services and familiar with alternatives
  • Exposure to deploying cross-cluster model-training workflows using Ray
  • Familiarity with Terraform for infrastructure as code
  • Knowledge of data governance and security compliance

Responsibilities

  • Architect and develop batch and streaming data pipelines using Airflow
  • Containerize data-processing jobs with Docker and manage with Kubernetes
  • Build high-throughput transformations using Dask or Apache Spark
  • Maintain training data clusters in hybrid environments
  • Implement observability for pipeline health and troubleshoot failures
  • Collaborate with teams on data contracts and quality checks
  • Design and maintain data models and load data into storage solutions

Benefits

  • Comprehensive medical, dental, and vision insurance
  • Generous paid time off including vacation and sick leave
  • Flexible work environment with remote and hybrid options
  • Access to training and educational resources for career growth
  • Recognition programs celebrating employee achievements
  • Inclusive and collaborative company culture
  • Generous parental leave policies
Full Job Description
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.

About Versa Networks

Versa Networks is a networking equipment and technology company based in San Jose, California. The company was founded in 2012 by Kumar Mehta and Apurva Mehta. Versa Networks provides software-defined networking (SDN) and network functions virtualization (NFV) solutions for enterprise and service provider networks. The company's products include Versa Secure SD-WAN, Versa SASE, and Versa Titan. Versa Networks has partnerships with several major technology companies, including Microsoft, Amazon Web Services, and Google Cloud.
Learn more about Versa Networks
Size
500 employees
Industry
Founded
2012

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