Data Engineering Specialist

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

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

• 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.

At Nasdaq, we’re proud to be the engine behind the world’s capital markets. But we don’t stop there. We build the technology that drives transparency, trust, and access—helping economies grow and people thrive. Our purpose is to advance economic progress for all.

Our hybrid work model, NasdaqBlend, gives you flexibility to do your best work—whether that’s from home, in the office, or a mix of both. We’re a global team of over 8,500 innovators across 38 countries, united by a shared purpose: advancing economic progress for all.

Want a deeper look into our culture? Explore our Culture Book. We support your success through You&Q, our total rewards program that covers every dimension of life—from building wealth and growing your career to prioritizing well-being and family care.