Data Platform Engineer - Real-Time Pipelines & AI-Ready

Nasdaq, Inc; Toronto; Hybrid; CAD 120,000 - 164,000; Full time

Benefits offered by this job

Hybrid work NasdaqBlend

Equity and bonus opportunity

Comprehensive benefits

Job summary

Nasdaq, Inc. is seeking a Data Engineering Specialist to design, build, and scale data infrastructure powering a large data marketplace. You’ll own ingestion pipelines, ensure data quality, and collaborate across cloud environments while promoting code quality and best practices.

The role requires 5–7 years in data engineering, strong Python and Spark skills, and experience with cloud-based orchestration. NasdaqBlend offers a hybrid work model combining remote and in-office work.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 5-7 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

Code review

Data quality

English communication

Education

Bachelor's degree in CS/Engineering

Tools

Python

Spark

Databricks

SQL

Job description

Nasdaq, Inc. is seeking a Data Engineering Specialist to design, build, and scale data infrastructure powering a large data marketplace. You’ll own ingestion pipelines, ensure data quality, and collaborate across cloud environments while promoting code quality and best practices.

The role requires 5–7 years in data engineering, strong Python and Spark skills, and experience with cloud-based orchestration. NasdaqBlend offers a hybrid work model combining remote and in-office work.