Lead Data Engineer

Nasdaq, Inc.; Toronto; Híbrido; CAD 151.000 - 211.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work environment

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

SQL

Spark/PySpark

Data pipelines

Cloud platforms

Communication

Educación

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

Herramientas

Databricks

Descripción del empleo

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.


• 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.

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.

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.

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 $106,000 - $148,000. 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.

We’re a global team of over 8,500 innovators across 38 countries, united by a shared purpose: advancing economic progress for all. It’s not just what we do—it’s how we do it, together.

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.