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 analytics to enable data-driven decision-making across various industries.
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 diagnose root causes of production data incidents, 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 on managing cloud infrastructure hosting the data platform.
- Document operational procedures, pipeline architectures, and troubleshooting runbooks.
- Develop and deploy data pipelines, backend ingestion, or integration jobs for enhancements and bug fixes.
- Engage with stakeholders to understand data challenges and provide targeted solutions.
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, such as AWS, GCP, or Azure.
- Experience with data warehouse solutions 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 services including Serverless components like API Gateway, Lambda, S3, SNS, SQS, and SecretsManager.
- Strong problem-solving skills, excellent analytical and troubleshooting skills, with the ability to navigate complex distributed systems.
- Ability to work with business users to assist with incidents and communicate proactively.
- Good communication and project management skills to relay findings and solutions across technical and non-technical audiences.
- Self-motivated, responsible, innovative, and technology-driven individual who performs well both solo and as part of a team.
Benefits & Perks
Competitive total compensation package including base salary, bonus, variable pay, and restricted stock units (RSUs)
Remote and flexible working options
Health benefits
Opportunities for career development and advancement
Inclusive work environment with accommodations for persons with disabilities
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