Data Engineer

🕒 Agosto 9, 2025

🏄 California, Washington – Remoto

🏄 California – Remote ☕ Washington – Remote

💵 $150.000 - $220.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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Versa Networks

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2012

📡 Telecomunicações

🔒 Cibersegurança

🏢 Corporativo

Telecommunications • Cybersecurity • Enterprise

A Versa Networks é líder nos mercados de Secure Access Service Edge (SASE) e Software-Defined Wide Area Network (SD-WAN), reconhecida por suas soluções inovadoras e abrangentes. A empresa oferece uma gama de produtos que integram funcionalidades de rede e segurança, com proteção contra ameaças impulsionada por IA, medidas avançadas de segurança e verdadeira multilocação. As plataformas da Versa suportam opções de implantação versáteis na nuvem e on-premises, enfatizando uma abordagem unificada para a conectividade segura de usuários, dispositivos e redes. Suas soluções ajudam as organizações a transformarem suas infraestruturas de TI, simplificando o gerenciamento e reduzindo a complexidade, o que se reflete em várias aplicações específicas da indústria, desde telecomunicações até serviços financeiros.

Descrição

• 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. • 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.