Senior Data Engineer
Who we are
About the role
You should apply if
You want to impact the industries that run our world
You are the architect of your own career
You're energized by our opportunity
You want to build platforms, not just pipelines
You're excited about AI-augmented engineering
Data Platform Engineering
- 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.
Spark & Distributed Systems
- 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.
Platform & Systems Thinking
- 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.
MCP Servers & AI Agents
- 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.
Leadership & Collaboration
- 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.
- Provide mentorship to junior team members and deliver technical guidance, training, and knowledge-sharing across teams.
- Engage directly with internal cross-functional stakeholders to understand their data needs and design scalable solutions.
- Lead end-to-end projects as the central point of contact for stakeholders.
Minimum requirements for the role
- 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.
An ideal candidate also has experience in
- Designing and governing a centralized semantic layer for reliable AI and analytics
- Logging and monitoring experience: Splunk, DataDog, AWS CloudWatch, or equivalent.
- AWS Serverless: API Gateway, Lambda, S3, SNS, SQS, SecretsManager.
The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed.
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.
Annual Base Salary $119,000 - $154,000 CAD
Total Rewards
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