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1 день назад

Senior Data Engineer (Fintech)

75 000 - 103 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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

Senior Data Engineer (Python/Spark): Designing and maintaining scalable data pipelines for financial and alternative datasets with an accent on ingestion, transformation, and enrichment. Focus on building high-quality data products, implementing robust monitoring frameworks, and onboarding diverse data sources like satellite imagery and consumer transactions.

Location: Hybrid in Toronto (at least 3 days a week in-office)

Salary: $75,000 - $103,000

Company

hirify.global is a global financial technology company providing critical market infrastructure and data services to financial organizations worldwide.

What you will do

  • Design, build, and maintain scalable data pipelines for ingestion, transformation, and delivery of financial and alternative datasets.
  • Collaborate with Data Science, Product Management, and Engineering teams to develop and launch new data products.
  • Implement robust monitoring and quality frameworks to ensure data accuracy, timeliness, and completeness.
  • Onboard new data sources, including exchange data and non-traditional alternative data (e.g., satellite imagery, consumer transactions).
  • Optimize existing data products and infrastructure to enhance system performance and reliability.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related STEM field.
  • 2–4 years of experience in data engineering.
  • Hands-on proficiency in Python, SQL, PySpark/Spark, Java, and shell scripting.
  • Experience with AWS (S3/EC2) and Databricks within a Linux environment.
  • Solid understanding of version control using Git.
  • Must be located in Toronto to support a hybrid work schedule (minimum 3 days in-office).

Nice to have

  • Knowledge of financial markets data, including equities pricing, volumes, and fundamentals.
  • Experience building financial data products in a production environment.
  • Familiarity with Kafka in a data engineering context.

Culture & Benefits

  • Competitive rewards package including base pay, annual bonus/commission, and equity (long-term incentive).
  • Comprehensive benefits package and opportunities for professional growth.
  • Inclusive workplace culture that values diverse perspectives and identities.
  • Provision of reasonable accommodations for individuals with disabilities during the hiring process.

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