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Salary
$59k – $81k per year
Location
In office (Toronto)
Seniority
Senior · 5+ years exp
Visa
Sponsors visas in United States, United Kingdom; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Nasdaq scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Nasdaq is an American company founded in 1971 that opened the first electronic stock market and has since turned itself into a financial technology business where exchange operation is only one part. Alongside the United States and Nordic exchanges it runs a listings franchise, sells market data and indexes, licenses trading and clearing technology to other market operators, and has built a large regulatory technology business covering financial crime surveillance, anti-money-laundering and board governance software. Headquartered in New York and listed on its own exchange, it now earns the majority of revenue from recurring solutions rather than from trading volumes.

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

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 $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.
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