6 дней назад
Analytics Engineer (SaaS)
149 600 - 215 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (SaaS): Build and operate the core BI platform powering reporting, analytics, self-service, and AI with an accent on data ingestion, integration, platform architecture, and governance. Focus on designing scalable data models, ensuring data quality, and evolving architecture toward AI-augmented analytics.
Location: Remote in Canada or the United States
Salary: $149,600 – $215,100 USD per year
Company
is a founder-led, high-growth SaaS company with a remote team across Canada, the US, and the UK, building products for clinics to manage their businesses and patient care.
What you will do
- Build and operate the core BI platform supporting reporting, analytics, self-service, and AI.
- Own data ingestion, integration, and platform architecture with thoughtful trade-offs.
- Develop and maintain enterprise data models, reusable business logic, and semantic layers for trusted analytics.
- Establish standards for data quality, testing, governance, observability, documentation, and CI/CD.
- Monitor platform health, identify pipeline failures, and implement scalable solutions to improve reliability.
- Review and certify data pipelines, models, semantic layers, and data products before business consumption.
- Mentor Analytics Engineers through code and design reviews and best practices.
Requirements
- Location: Must be based in Canada or the United States
- 6+ years of professional experience in analytics engineering or similar technical data analytics roles, preferably in SaaS or high-tech.
- Expert-level SQL proficiency and deep data modeling experience with performant query writing and architectural trade-offs.
- 6+ years hands-on experience building, deploying, and maintaining modular data pipelines using dbt in production with git workflows and automated data quality testing.
- Experience designing schemas and optimizing queries on cloud data platforms such as Snowflake, Redshift, or BigQuery.
- Experience implementing data observability platforms and using AI to improve dbt workflows and analytics engineering development.
Nice to have
- Experience designing semantic models and enabling self-service analytics through governed datasets and trusted metric definitions.
Culture & Benefits
- Remote work across Canada, US, and UK with a focus on impact and adaptability.
- Wide salary bands reflecting growth and impact over time.
- Equity through Stock Option Plan with significant company growth.
- Supportive environment embracing AI to improve systems and workflows.
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