Samsara is looking to hire a Data Engineer to join their Data and Analytics team. This role will focus on building and maintaining data pipelines and the Data Platform to enable advanced automation and analytics, ultimately driving data-driven decisions for Samsara and its customers.
Requirements
- 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.
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- 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.
Responsibilities
- 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.
Other
- This role is open to candidates residing in the US and Canada except San Francisco Bay Area and New York Metro City.
- 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.
- Comfortable in working with business customers to gather requirements and gain a deep understanding of varied datasets.
