Lead Data Engineer
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jul 21, 2026. Nasdaq scores B on the Alion truth index.
As a Lead Data Engineer 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.
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.
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 $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.