Senior Data Engineer @ Samsara
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About Samsara
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, empowering organizations to harness IoT data for actionable insights and improved operations. The company serves infrastructure sectors such as agriculture, construction, transportation, manufacturing, and more.
About the Role
As a Senior Data Engineer at Samsara, you will join the Data and Analytics team within Business Technology. Your mission will be to develop and maintain robust end-to-end data pipelines, improve data architecture, and enable advanced automation and analytics. You will work with various data sources such as CRM, product, marketing, order flow, and support ticket data, while collaborating with stakeholders internally and externally.
- Develop and maintain E2E data pipelines and backend ingestion.
- Manage data integration, transformation, and ensure data quality.
- Write SQL/Python transformations for data products.
- Collaborate with cross-functional teams for scalable solutions.
- Mentor junior team members and drive technical training.
What You Should Bring
- Bachelor’s degree in Computer Science, Engineering, or equivalent.
- 8+ years of data engineering experience with 3+ years on production-grade pipelines.
- Experience with modern cloud data-lake and warehousing technology stacks.
- Proficiency in Python and SQL along with ETL tools and APIs.
- Experience managing end-to-end projects and mentoring peers.
Additional Details
The role is open to candidates residing in the US and Canada, excluding the San Francisco Bay Area and New York Metro City. Samsara embraces a flexible working model including remote work, and supports professional growth through a collaborative, agile culture.
Key skills/competency
- Data Pipelines
- SQL
- Python
- ETL
- Cloud
- Data Warehousing
- Architecture
- Mentorship
- APIs
- Observability
How to Get Hired at Samsara
🎯 Tips for Getting Hired
- Research Samsara's culture: Understand the company mission and values.
- Tailor your resume: Highlight cloud, SQL, and Python expertise.
- Showcase project leadership: Emphasize end-to-end data projects.
- Prepare for technical interviews: Review ETL and data warehousing concepts.
- Practice communication: Demonstrate clear stakeholder collaboration.