Senior Data Engineer

Summary

Join Samsara, a pioneer in the Connected Operations™ Cloud, and become a Data Engineer on our Data and Analytics team. We are building integrated data layers for Samsara and our customers, providing insights and tools for data-driven decisions. You will develop and maintain data pipelines, work with diverse data sources, manage critical pipelines for growth initiatives, and facilitate data integration. This role requires experience in building large-scale data pipelines, working with cloud-based data technologies, and proficiency in SQL and Python. We offer a collaborative environment, opportunities for career development, and a competitive compensation package.

Requirements

• 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
• 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

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

Preferred Qualifications

• Comfortable in working with business customers to gather requirements and gain a deep understanding of varied datasets
• Familiarity working with Spark/PySpark and Terraform
• A self-starter, motivated, responsible, innovative and technology-driven person who performs well both solo and as a team member
• A proactive problem solver and have good communication as well as project management skills to relay your findings and solutions across technical and non technical audiences
• Logging and Monitoring: One or more of Splunk, DataDog, AWS Cloudwatch or equivalent
• AWS Serverless: AWS API Gateway, Lambda, S3, SNS, SQS, SecretsManager

Benefits

Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, Samsara for Good charity fund, and much, much more