Lead Data Engineer
CA-Toronto-York St 24/25
- Pay
$106,000–148,000/year · BaseAnnual period assumed — pay source
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.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, 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.
From the employer’s posting
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.
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.
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.
What you’ll bring
All qualificationsCore experience
- 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.
Preferred experience
- Experience building and integrating AI tools into data engineering workflows.
- Prior experience in fintech, capital markets, or a regulated data environment.
Qualification wording
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.
Experience building and integrating AI tools into data engineering workflows.
Prior experience in fintech, capital markets, or a regulated data environment.
Tools in this posting
- Python
- SQL
- Databricks
- Spark
- PySpark
Source — Tool mentions in context
- 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.
- 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.
Benefits in the posting
Full benefits wording- 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.
From the employer’s posting.
Job description
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.Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on nasdaq.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
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.
- Location & working pattern
CA-Toronto-York St 24/25
- 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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 23, 2026
- Recorded sightings
- 147
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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