Data Engineer

Emploi pas sur LinkedIn

🕒 il y a 12 mois

🏄 California, Washington – Distant

🏄 California – Remote ☕ Washington – Remote

💵 $150 000 - $220 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

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Versa Networks

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2012

📡 Télécommunications

🔒 Cybersecurity

🏢 Entreprise

Telecommunications • Cybersecurity • Enterprise

Versa Networks est un leader dans les marchés des solutions de périmètre de service d'accès sécurisé (SASE) et du réseau étendu défini par logiciel (SD-WAN), reconnu pour ses solutions innovantes et complètes. L'entreprise propose une gamme de produits intégrant des fonctionnalités de mise en réseau et de sécurité, avec une protection contre les menaces alimentée par l'IA, des mesures de sécurité avancées et une véritable multi-tenance. Les plateformes de Versa offrent diverses options de déploiement dans le cloud et sur site, mettant l'accent sur une approche unifiée pour une connectivité sécurisée pour les utilisateurs, les appareils et les réseaux. Ses solutions aident les organisations à transformer leur infrastructure informatique en simplifiant la gestion et en réduisant la complexité, ce qui se reflète dans diverses applications spécifiques à l'industrie, allant des télécommunications aux services financiers.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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.