Senior Data Engineer

🕒 il y a 1 mois

🏄 California, New York, +1 états de plus – Distant

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $118 107 - $178 650 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Samsara

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2015

📦 Logistique

🏗️ Construction

🏥 Santé

💰 Seed Round en 2014-08

Logistics • Construction • Healthcare

Samsara est une entreprise technologique qui propose une plateforme d’opérations complète visant à améliorer l’efficacité, la sécurité et la durabilité des organisations. Ses solutions comprennent : • sécurité basée sur la vidéo • télématique des véhicules • monitoring des équipements • applications pour la main-d’œuvre • visibilité des sites Samsara accompagne un large éventail de secteurs, notamment le transport, la logistique, la construction et le secteur public. La plateforme connecte les personnes, les systèmes et les données, permettant aux organisations de prendre des décisions plus rapides et fondées sur les données. La technologie Connected Operations de Samsara aide les organisations complexes à fonctionner plus efficacement grâce au GPS en temps réel, à des alertes proactives, à des formations à la conformité et au suivi des actifs.

Description

• Develop and maintain end-to-end data pipelines and backend ingestion workflows, and participate in the build of Samsara's Data Platform to enable advanced automation and analytics. • Work with data from a variety of sources including ERP(Netsuite), CRM(Salesforce), Product, Order Flow, and Support ticket data. • Manage critical data pipelines to enable growth initiatives and advanced analytics. • Facilitate data integration and transformation for moving data between applications, ensuring interoperability with data layers and the data lake. • Develop and improve data architecture, data quality, monitoring, observability, and data availability. • Write data transformations in SQL/Python to generate data products consumed by Analytics, Marketing Operations, and Sales Operations teams. • Design, build, and operate large-scale Spark and PySpark workflows for batch and streaming data processing across Databricks and cloud environments. • Optimize Spark job performance — tuning partitioning, shuffle, caching, and resource allocation for production-grade reliability and efficiency. • Define and enforce data engineering standards, patterns, and best practices across the team. • Design systems with long-term maintainability in mind: clear contracts, testable components, and thoughtful failure modes. • Collaborate with platform and infrastructure teams to evolve the underlying architecture of Samsara's enterprise data ecosystem. • Build and maintain MCP (Model Context Protocol) servers that expose Samsara's data assets and engineering workflows to AI models and internal tooling. • Collaborate with platform teams to integrate agentic workflows into the data engineering lifecycle. • Evaluate and adopt emerging AI-native tooling for data engineering, staying ahead of the curve on how LLMs and agents can accelerate data work. • Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally.

🎯 Exigences

• Bachelor's degree in computer science, data engineering, data science, information technology, or an equivalent engineering program. • 8+ years of work experience as a Software Engineer with data focus or as Data Engineer. • 5+ years of experience building and maintaining large-scale, production-grade end-to-end data pipelines, including Data Modeling. • 5+ years of hands-on Spark / PySpark in a production environment, including job optimization and performance tuning. • Core Engineering Fundamentals: Strong programming capabilities in Python and SQL, combined with cloud data warehouse/lakehouse experience (e.g., Snowflake, Google BigQuery, Databricks, or Apache Iceberg). • Exposure to ETL tools such as Fivetran, DBT, or equivalent. • API experience: Python-based API frameworks for data pipeline ingestion. • RDBMS experience: MySQL, AWS RDS/Aurora, PostgreSQL, Oracle, MS SQL Server, or equivalent. • Cloud: AWS, Azure, and/or GCP.

🏖️ Avantages

• competitive salary • initial RSU grant with no vesting cliff • ongoing refresh opportunities tied to performance • flexible, employee-led remote model • professional development stipend • comprehensive health and parental leave plans • total rewards and benefits designed to fuel high-impact builders