Data Engineering Specialist

Nasdaq; Toronto; Hybrid; CAD 118,160 - 161,767; Full time

Benefits offered by this job

Annual bonus/commission

Equity

Comprehensive benefits

Growth opportunities

Job summary

Nasdaq is seeking a Data Engineering Specialist in Toronto for a hybrid role, combining in-office collaboration with remote work flexibility. You will design, build, and scale data infrastructure powering a large data marketplace used by finance and tech professionals.

The position emphasizes data quality, automation, and scalable pipelines across cloud environments. You will work under the Senior Director of Data Engineering, collaborating across teams to deliver robust data ingestion,

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 6+ 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

Airflow

Education

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

Tools

Databricks

Job description

As a Data Engineering Specialist reporting to the Senior Director of Data Engineering, you'll play a critical role in designing, building, and scaling the data infrastructure that powers one of the world's largest data marketplaces — serving hundreds of thousands of professionals across finance, technology, and beyond. You'll thrive in this position if you're analytical, detail-oriented, and passionate about data quality and engineering excellence in a fast-paced, high-impact environment. This position will be located in Toronto, Canada, and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Key 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.

Required Qualifications

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


• 6+ 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.

Preferred Qualifications

• Experience building and integrating AI tools into data engineering workflows.


• Data engineering certification (e.g., Databricks Certified Data Engineering Associate or Professional).


• Prior experience in fintech, capital markets, or a regulated data environment.

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

What We Offer

• The base pay range for this role is $84,000 - $115,000.


• Annual bonus/commission (short-term incentive).


• Equity (long-term incentive).


• Comprehensive benefits.


• Opportunity for growth.

Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.