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Lead Data Engineer (AI)

106 000 - 148 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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