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Senior Data Engineer (SaaS)
Описание вакансии
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TL;DR
Senior Data Engineer (SaaS): Designing and deploying robust data infrastructure to drive data-driven decision-making with an accent on complex orchestration models and scalable reporting tools. Focus on building frameworks for data management, optimizing SQL performance, and enabling enterprise-wide data accessibility.
Location: Must be based in Canada
Company
is a leading Trust Management Platform that helps businesses automate security monitoring and prove compliance with standards like SOC 2, HIPAA, and ISO 27001.
What you will do
- Design and deploy data infrastructure to support data-driven decision-making.
- Implement complex data orchestration models and scale reporting tools for data science and ML products.
- Serve as the company expert on data administration and scalable data systems.
- Write highly tuned, scalable SQL queries for large-scale heterogeneous data warehouses.
- Collaborate with engineering teams to structure source systems for enterprise reporting.
- Maintain CDC pipelines and develop frontend applications to expose analytical data sets.
Requirements
- Must be based in Canada.
- At least 4 years of experience working with data and 2 years in Software Engineering.
- Proficiency with analytics tooling such as Stitch, Fivetran, Snowflake, BigQuery, Redshift, dbt, Airflow, or Dagster.
- Working knowledge of AWS data infrastructure and Terraform.
- Deep knowledge of crafting dimensional and fact models.
- Openness to using AI to improve efficiency and impact.
Culture & Benefits
- Industry-competitive salary and equity.
- 100% covered medical, dental, and vision benefits with dependents coverage.
- Pension contribution and 16 weeks fully paid Parental Leave.
- Health, wellness, and remote workspace stipends.
- Flexible work hours and location.
- 21 days of Vacation Time, 80 hours of Sick Leave, and 11 company-paid holidays.