Data Engineering Specialist
Summary
Designs and scales data infrastructure for a financial data marketplace, building automated pipelines to ingest, clean, and process large volumes of structured and unstructured data using Python, SQL, and Spark.
Job Summary
As a Data Engineering Specialist reporting to the Senior Director of Data Engineering, you will design, build, and scale the data infrastructure that powers a large data marketplace. The role focuses on data onboarding, automation, and ensuring high data quality in a fast‑paced, high‑impact environment.
Key Responsibilities
- Design, implement, and maintain components of the 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.
- 6+ 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.
Location and Work Environment
This position is located in Toronto, Canada, with a hybrid work model: at least 3 days a week in‑office, subject to change, providing flexibility for qualified candidates.
Equal Opportunity Statement
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. Individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
Benefits and Compensation
- Base pay range: $84,000 – $115,000.
- Generous annual bonus/commission (short‑term incentive).
- Equity (long‑term incentive).
- Comprehensive benefits package.
- Opportunity for growth and professional development.