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Remote Data Platform Engineer for AI Analytics
Job summary
A leading data analytics firm in Toronto is seeking a Data Engineer to join an innovative AI platform project. The role involves designing data architectures, developing pipelines for investment analysis, and collaborating with teams across finance. The ideal candidate has a Master's degree and 3–5 years of experience with data engineering. Benefits include remote work flexibility, professional development opportunities, and a multicultural work environment.
Benefits
Qualifications
- 3–5 years of hands-on experience designing and maintaining large-scale data pipelines.
- Proven experience working with structured and unstructured financial data or other complex data domains.
- Experience in finance, consulting, or private equity environments.
Responsibilities
- Design and maintain robust data pipelines and architectures.
- Develop scalable data infrastructure and monitor data flow performance.
- Collaborate with data scientists and investment teams to operationalize analytics.
- Automate data workflows and implement CI/CD pipelines.
Skills
Education
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.