Data Support Ops Engineer
SamsaraRemote
Full Time
Posted December 8, 2025
CA$98k - CA$127k
Not Specified
Remote
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Job Description
The Data Operations Engineer at Samsara is responsible for maintaining the health, performance, and reliability of the company's production data platform, including managing data pipelines, ensuring data quality, and supporting data integration and infrastructure to enable data-driven decision-making across various teams.
Key Responsibilities
- Maintain the health, stability, and performance of the production data platform, including data ingestion pipelines, processing jobs, and data warehousing.
- Respond to and resolve production data incidents, diagnosing root causes and implementing fixes to ensure data integrity.
- Design, implement, and maintain monitoring, logging, and alerting systems for data pipelines and infrastructure.
- Manage, deploy, and maintain data and integration pipelines and APIs.
- Optimize data processing jobs and API performance for speed, scalability, and efficiency.
- Develop and enforce data validation and quality checks within pipelines to ensure data accuracy.
- Collaborate with DevOps teams to manage underlying AWS infrastructure hosting the data platform.
- Document operational procedures, pipeline architectures, and troubleshooting runbooks.
- Develop and deploy data pipelines, backend ingestion, or integration jobs for minor enhancements and bug fixes.
- Work with data from various sources, including CRM, product, marketing, order flow, support, and finance data.
Requirements
- A Bachelor’s degree in computer science, data engineering, data science, information technology, or equivalent engineering program.
- 3 years of experience in a Data Engineering, Data Operations, or SRE role supporting production data environments.
- Must have SQL experience to perform data analysis.
- Experience with Python or a similar scripting language.
- Exposure to ETL tools such as Fivetran, DBT, Workato, or equivalent.
- Experience with python-based API frameworks and API management tools.
- Experience with RDBMS such as MySQL, AWS RDS Aurora MySQL, PostgreSQL, Oracle, or equivalent.
- Experience with at least one major cloud provider: AWS, GCP, or Azure.
- Experience with data warehouses such as Databricks, Google BigQuery, AWS Redshift, Snowflake, or equivalent.
- Experience with CI/CD, DevOps tools, and practices.
- Experience with logging and monitoring tools such as Splunk, DataDog, AWS CloudWatch, or equivalent.
- Experience with AWS Serverless services including AWS API Gateway, Lambda, S3, SNS, SQS, SecretsManager.
- Ability to diagnose root causes, implement fixes, and ensure data integrity for production data incidents.
- Ability to design, implement, and maintain monitoring, logging, and alerting systems for all production data pipelines and infrastructure.
- Ability to manage, deploy, and maintain data and integration pipelines and APIs.
- Ability to identify and implement performance optimizations to improve speed, scalability, and efficiency of data processing jobs and API performance.
- Ability to develop and enforce data validation and quality checks within pipelines to minimize errors and inconsistencies in production data.
- Ability to collaborate with DevOps teams on managing the underlying infrastructure AWS components that host the data platform.
- Ability to maintain comprehensive and up-to-date documentation for operational procedures, pipeline architectures, and troubleshooting runbooks.
- Excellent analytical and troubleshooting skills, with the ability to navigate complex distributed systems.
- Proactive communication skills to assist with incidents and communicate proactively with business users and internal stakeholders.
- Self-starter, motivated, responsible, innovative, and technology-driven with the ability to perform well both solo and as part of a team.
Benefits & Perks
Competitive total compensation package including base salary, bonus, variable pay, and restricted stock unit awards (RSUs)
Remote and flexible working options
Health benefits
Opportunities for career development and growth
Inclusive work environment with accommodations for persons with disabilities
Support for work-life balance through flexible work arrangements
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