Data Engineering Specialist

Nasdaq; Toronto; On-site; CAD 84,000 - 115,000; Full time

Benefits offered by this job

Annual bonus

Equity

Comprehensive benefits

Growth opportunities

Job summary

Nasdaq is seeking a Data Engineering Specialist to design, build, and scale data infrastructure powering a global data marketplace. You will own data onboarding, automation, and the architecture of real-time and batch pipelines across cloud environments.

You will work with Python, Spark, SQL, and modern orchestration tools, contributing to data quality, reliability, and high-impact analytics for hundreds of thousands of professionals.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/Engineering.
• 5–7 years of professional software or data engineering experience.
• Proficiency in Python (required) with SQL and Spark/PySpark knowledge.

Responsibilities

• Design, implement, and maintain components of the data platform with onboarding/automation focus.
• Build and optimize data ingestion pipelines for large volumes of data.
• Develop automated data processing, transformation, and quality workflows.
• Write and manage distributed data pipelines supporting real-time and batch processing across cloud environments.
• Champion a collaborative code review culture for maintainability and best practices.

Skills

Python

SQL

Spark/PySpark

Data ingestion

Cloud platforms

Data pipelines

Education

Bachelor's degree in CS/Engineering

Tools

Databricks

Airflow

Job description

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.

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.
• 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.

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

We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.
The base pay range for this role is $84,000 - $115,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and 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.