Description:
The Data Operations Engineer will be responsible for the health, stability, and performance of our production data platform, including data ingestion pipelines, processing jobs, and data warehousing. This role requires a blend of data engineering skills and operational rigor to ensure high availability and data quality for downstream consumers and business intelligence.
This is a remote role and is open to candidates residing in Canada.
You should apply if:
- You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
- You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
- You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
- You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.
In this role, you will:
- Incident Response: Serve as a primary responder for production data incidents, quickly diagnosing root causes, implementing fixes, and ensuring data integrity.
- Monitoring and Alerting: Design, implement, and maintain monitoring, logging, and alerting systems for all production data pipelines and infrastructure.
- Pipeline Management: Manage, deploy, and maintain data and integrations pipelines and APIs.
- Performance Optimization: Continuously identify and implement optimizations to improve the speed, scalability, and efficiency of data processing jobs and API performance.
- Data Quality: Develop and enforce data validation and quality checks within the pipelines to minimize errors and inconsistencies in production data.
- Infrastructure: Collaborate with DevOps teams on managing the underlying infrastructure (AWS components) that hosts the data platform.
- Documentation: Maintain comprehensive and up-to-date documentation for all operational procedures, pipeline architectures, and troubleshooting runbooks.
- Communicate incident status and SLA reports to management.
- Develop & deploy data pipelines, backend ingestion or integration jobs to support minor enhancements and bug fixes.
- 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, Finance data etc.
- 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.
Minimum requirements for the role:
- A Bachelor’s degree in computer science, data engineering, data science, information technology, or equivalent engineering program.
- 5+ years of experience in a Data Engineering, Data Operations, or SRE role supporting production data environments & user support on data issues.
- Must have SQL experience to perform data analysis
- Experience with the following:
- Python or similar scripting language
- Exposure to ETL tools such as Fivetran, DBT, Workato or equivalent.
- API: Exposure to python based API frameworks, API management tools.
- RDBMS: MySQL, AWS RDS/Aurora MySQL, PostgreSQL, Oracle or equivalent.
- Experience with at least one major cloud provider (AWS, GCP, or Azure)
- Data warehouse: Databricks, Google Big Query, AWS Redshift, Snowflake or equivalent.
- CI/CD, DevOps tools and practices.