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Senior Data Engineer

2 months, 1 week ago
Canada
Full-time
Lead
Data Engineer
Software Development
Agile Apache Spark API Gateway AWS Azure Databricks Datadog dbt GCP LLM MySQL PostgreSQL Python Serverless Snowflake Splunk SQL SQL Server
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Samsara

Samsara

Samsara pioneers the Connected Operations Cloud, offering AI safety programs, real-time visibility, and integrations for industries to enhance efficiency, safety, and sustainability globally.

IT Services
1K-5K
Founded 2015
View All Jobs 115

Description

  • Develop and maintain end-to-end data pipelines and backend ingestion workflows for Samsara's Data Platform.
  • Work with data from ERP, CRM, product, order flow, and support ticket systems.
  • Manage critical data pipelines that support growth initiatives and advanced analytics.
  • Facilitate data integration and transformation between applications, the data layers, and the data lake.
  • Improve data architecture, data quality, monitoring, observability, and data availability.
  • Write SQL and Python transformations to create data products used by Analytics, Marketing Operations, and Sales Operations.
  • Design, build, and operate large-scale Spark and PySpark workflows for batch and streaming processing.
  • Optimize Spark job performance through tuning partitioning, shuffle, caching, and resource allocation.
  • Define and enforce data engineering standards, patterns, and best practices across the team.
  • Build and maintain MCP servers and collaborate on integrating agentic workflows into the data engineering lifecycle.
  • Provide mentorship, technical guidance, training, and knowledge-sharing across teams.
  • Lead end-to-end projects and partner with cross-functional stakeholders to design scalable solutions.

Requirements

  • Bachelor's degree in computer science, data engineering, data science, information technology, or a related engineering program.
  • 8+ years of work experience as a software engineer with a data focus or as a 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 experience in production, including job optimization and performance tuning.
  • Strong programming skills in Python and SQL.
  • Experience with cloud data warehouse or lakehouse platforms such as Snowflake, Google BigQuery, Databricks, or Apache Iceberg.
  • Exposure to ETL tools such as Fivetran, DBT, or equivalent.
  • API experience with Python-based frameworks for data pipeline ingestion.
  • Experience with RDBMS technologies such as MySQL, AWS RDS/Aurora, PostgreSQL, Oracle, or MS SQL Server.
  • Experience with AWS, Azure, and/or GCP.
  • Preferred: experience designing and governing a centralized semantic layer for reliable AI and analytics.
  • Preferred: experience with logging and monitoring tools such as Splunk, DataDog, or AWS CloudWatch.
  • Preferred: experience with AWS serverless services including API Gateway, Lambda, S3, SNS, SQS, and SecretsManager.

Benefits

  • Annual base salary range of $119,000 to $154,000 CAD.
  • Eligible for an initial RSU grant with no vesting cliff.
  • Ongoing RSU refresh opportunities tied to performance, subject to plan terms and conditions.
  • Above-market total compensation, including base salary, performance-based bonus or variable pay, and equity for eligible roles.
  • Flexible, employee-led remote work model.
  • Professional development stipend.
  • Comprehensive health plans.
  • Comprehensive parental leave plans.

Interested in this position?

Apply directly on the company website

Apply Now

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