Senior Data Platform Engineer - Hybrid (Toronto) Equity

Nasdaq, Inc.; Toronto; Hybrid; CAD 151,000 - 211,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

Nasdaq, Inc. is seeking a senior data engineer to design, implement, and maintain data platform components with a focus on onboarding and automation. You will build, optimize, and operate large-scale ingestion pipelines for structured and unstructured data across cloud environments.

The role requires 10+ years in software or data engineering, strong Python and SQL/Spark skills, and experience with cloud data tools. Hybrid in Toronto, with emphasis on collaboration and scalable data solutions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 10+ years of professional experience in software or data engineering.
• Proficiency in Python (required), with working knowledge of SQL and Spark/PySpark.
• Hands-on experience with cloud platforms and data tools, including distributed data pipeline development and orchestration.
• Strong written and verbal communication skills in English, with the ability to document clearly and concisely.

Responsibilities

• Design, implement, and maintain components of our data platform, with a strong focus on data onboarding and automation.
• Build and optimize data ingestion pipelines that clean, transform, and load large volumes of structured and unstructured data.
• Develop automated data processing, transformation, and quality assurance workflows to ensure completeness, accuracy, and reliability.
• Write and manage distributed data pipelines supporting both real-time and batch processing across cloud environments.
• Champion a collaborative code review culture that promotes maintainability, best practices, and continuous improvement.

Skills

Python

SQL

Spark/PySpark

Data pipelines

Cloud platforms

Communication

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Tools

Databricks

Job description

Nasdaq, Inc. is seeking a senior data engineer to design, implement, and maintain data platform components with a focus on onboarding and automation. You will build, optimize, and operate large-scale ingestion pipelines for structured and unstructured data across cloud environments.

The role requires 10+ years in software or data engineering, strong Python and SQL/Spark skills, and experience with cloud data tools. Hybrid in Toronto, with emphasis on collaboration and scalable data solutions.