AI Engineer

Samsara

5d

About The Position

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 Canada.

Requirements

• A Bachelor’s degree in computer science, data engineering, data science, information technology, or equivalent engineering program.
• 3+ years of experience in data engineering, ETL development, or database architecture.
• 3+ years of experience in 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.
• Engage directly with internal cross-functional stakeholders to understand their data needs and design scalable solutions.
• Experience with the following:
• 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.

Nice To Haves

• Comfortable in working with business customers to gather requirements and gain a deep understanding of varied datasets.
• Familiarity working with Spark/PySpark and Terraform, Expert proficiency with dbt and dbt Cloud or similar data modeling tool.
• 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.

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.

Benefits

• Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more. Take a look at our Benefits site to learn more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level