WHO WE ARE

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

FLEXIBLE WORKING

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

ABOUT THE ROLE

We are looking for a Data Engineer to join our team. Data and Analytics is a critical team within Business Technology. Our mission is to enable integrated data layers for all of Samsara and Samsara customers with the insights, tools, infrastructure and consultation to make data driven decisions. We are a growing team that loves all things data! The team will be composed of data engineers, architects, analysts and data scientists. We are passionate about leveraging world class data and analytics to deliver a great customer experience.
Our team promotes an agile, collaborative, supportive environment where diverse thinking, innovative design, and experimentation is welcomed and encouraged.
This role is open to candidates residing in the Canada.

IN THIS ROLE, YOU WILL:

• 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.

MINIMUM REQUIREMENTS FOR THE ROLE:

• A Bachelor’s degree in computer science, data engineering, data science, information technology, or equivalent engineering program.
• 6+ years of work experience as a Data Engineer
• 3+ years experience on 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.
• Experience with the following:
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• 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.