Senior Data Engineer

October 9

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Samsara

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Enterprise • Transport • Security

Samsara is a technology company that provides a comprehensive operations platform aimed at improving the efficiency, safety, and sustainability of organizations. Their solutions include video-based safety, vehicle telematics, equipment monitoring, workforce applications, and site visibility. Samsara serves a wide range of industries, including transportation, logistics, construction, and government. The platform connects people, systems, and data, enabling organizations to make faster, data-informed decisions. Samsara's Connected Operations technology helps complex organizations operate more effectively by offering real-time GPS, proactive alerts, compliance training, and asset tracking.

1001 - 5000 employees

Founded 2015

🏢 Enterprise

🚗 Transport

🔐 Security

💰 Seed Round on 2014-08

📋 Description

• Develop and maintain E2E data pipelines, backend ingestion 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 but not limited to: CRM data, Product data, Marketing data, Order flow data, Support ticket volume data. • Manage critical data pipelines to enable our growth initiatives and advanced analytics. • Facilitate data integration and transformation requirements for moving data between applications; ensuring interoperability of applications with data layers and data lake. • Develop and improve the current data architecture, data quality, monitoring, observability and data availability. • Write data transformations in SQL/Python to generate data products consumed by customer systems and Analytics, Marketing Operations, Sales Operations teams. • 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 and across new offices.

🎯 Requirements

• A Bachelor’s degree in computer science, data engineering, data science, information technology, or equivalent engineering program. • 8+ years of work experience as a Data Engineer • 3+ years of experience in building/maintaining a large-scale production-grade end-to-end data pipelines, including Data Modeling. • Experience with modern cloud-based data-lake and data-warehousing technology stacks, and familiarity with typical data-engineering tools, ETL/ELT, and data-warehousing processes and best practices. • Experience with leading end-to-end projects, including being the central point of contact to stakeholders. • Provide mentorship to junior team members, and provide technical guidance, training, and knowledge-sharing across teams. • Engage directly with internal cross-functional stakeholders to understand their data needs and design scalable solutions. • Experience with the following: • 3+ years in Python, SQL. • Exposure to ETL tools such as Fivetran, DBT or equivalent. • API: Exposure to python based API frameworks for data pipelines. • RDBMS: MySQL, AWS RDS/Aurora MySQL, PostgreSQL, Oracle, MS SQL-Server or equivalent. • Cloud: AWS, Azure and/or GCP. • Data warehouse: Databricks, Google Big Query, AWS Redshift, Snowflake or equivalent.

🏖️ Benefits

• Full time employees receive a competitive total compensation package • Employee-led remote and flexible working • Health benefits • Much, much more.