обновлено 4 дня назад
Lead Data Engineer (AI)
106 000 - 148 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (AI): Designing and scaling data infrastructure, ingestion pipelines, and automated processing workflows for a large financial data marketplace with an accent on data onboarding, distributed processing, and data quality. Focus on building real-time and batch pipelines, orchestrating cloud data platforms, and integrating AI tools into data engineering workflows.
Location: Toronto, Canada; hybrid work with at least 3 days per week in the office
Salary: $106,000–$148,000 base pay annually, plus bonus or commission, equity, and benefits
Company
operates a large data marketplace serving professionals across finance, technology, and other industries.
What you will do
- Design, implement, and maintain data platform components focused on data onboarding and automation.
- Build and optimize ingestion pipelines for cleaning, transforming, and loading structured and unstructured data.
- Develop automated data processing, transformation, and quality assurance workflows.
- Build distributed data pipelines for real-time and batch processing across cloud environments.
- Promote collaborative code reviews, maintainable solutions, engineering best practices, and continuous improvement.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 10+ years of professional experience in software or data engineering.
- Proficiency in Python and working knowledge of SQL and Spark/PySpark.
- Hands-on experience with cloud platforms, data tools, distributed pipeline development, and orchestration.
- Strong written and verbal English communication skills, including clear and concise documentation.
- Ability to work from the Toronto office at least 3 days per week in a hybrid arrangement.
Nice to have
- Experience building and integrating AI tools into data engineering workflows.
- Data engineering certification, such as a Databricks Data Engineering certification.
- Experience in fintech, capital markets, or regulated data environments.
Culture & Benefits
- Inclusive workplace that values diverse perspectives, experiences, and identities.
- Equal opportunity employment and reasonable accommodation throughout the hiring process.
- Annual bonus or commission and equity incentives.
- Comprehensive benefits and opportunities for professional growth.
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