Senior Data Engineer/Scientist

Summary

Join Samsara's People Analytics team as a Senior Data Engineer/Scientist! You will design and maintain data pipelines, build and transform data structures, and collaborate with data scientists, analysts, and developers. This remote position (US and Canada, excluding specified locations) offers the chance to impact global industries and advance your career within a rapidly growing company. You'll leverage SQL and Python, incorporate generative AI, and contribute to high-quality analytical products. The role requires a BS degree, 6+ years of experience, and proficiency in data manipulation and pipeline building. Competitive compensation and benefits are included.

Requirements

• BS degree in Computer Science, Statistics, Engineering, or a related quantitative discipline
• 6+ years experience in a data engineering and data science-focused role
• Proficiency in data manipulation and processing in SQL and Python
• Expertise building data pipelines with new API endpoints from their documentation
• Proficiency in building ETL pipelines to handle large volumes of data
• Demonstrated experience in designing data models at scale

Responsibilities

• Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured and highly sensitive data
• Access, manipulate, and integrate external datasets with internal data
• Building analytical and statistical models to identify patterns, anomalies, and root causes
• Leverage SQL and Python to shape and aggregate data
• Incorporate generative AI tools (ChatGPT Enterprise) into production data pipelines and automated workflows
• Collaborate closely with data scientists, data analysts, and Tableau developers to ship top quality analytic products
• 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

Preferred Qualifications

• M.S. or PhD degree in Computer Science, Statistics, Engineering, or a related quantitative discipline
• Experience scaling data pipelines for performance
• Experience building statistical and other analytical models
• Experience maintaining data pipelines with Databricks
• Experience with techniques to protect sensitive data structures
• Experience automating manual workflows with code
• Experience with Spark-based data platforms

Benefits

• Competitive total compensation package
• Employee-led remote and flexible working
• Health benefits
• Samsara for Good charity fund