Log inSign up free
  • Home
  • Jobs
    • Applications
    • Career
    • Resume
    • Cover letters
  • Content
    • Posts
    • Media
  • Messages
  • Analytics
    • Overview
    • Pages
  • Builder
    • Templates
  • More tools
    • Profile
    • Hiring
  • Settings
All jobs
NANasdaq logo

Nasdaq

CA-Toronto-York St 24

Data Engineering Specialist.

DATA & ML$84K–115K/YR
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. 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. Whether you’re a client, a colleague, or part of our broader community, we’re here to move markets—and possibilities—forward. Join our Talent Community to stay in the loop on upcoming roles, events, and new opportunities across Nasdaq. Our hybrid work model, NasdaqBlend, gives you flexibility to do your best work—whether that’s from home, in the office, or a mix of both. Check the job listing or reach out to our team for role-specific details. 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. Want a deeper look into our culture? Explore our Culture Book. 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. Join the Team Advancing Economic Progress for All.
Pay
$84k–115k/yr
Where
CA-Toronto-York St 24 · 25, Canada
Work
Not stated
Type
Not stated
Posted
10 Nov, 2026
Apply on the original postingSign in to apply

Unverified board

more at Nasdaq.

9 Nov, 2026

Nasdaq

Senior Core Java Developer - Trading

NANasdaq logo
  • Senior level
  • Engineering

Sydney, Australia

Salary not listed

Details
9 Nov, 2026

Nasdaq

Sr. Director - Solution Engineering (Axiom SL)

NANasdaq logo
  • Leadership
  • Engineering

Singapore-Collyer Quay, Singapore

Salary not listed

Details
9 Nov, 2026

Nasdaq

Senior Site Reliability Engineer

NANasdaq logo
  • Senior level
  • DevOps & Infra

Manila, Philippines

Salary not listed

Details

similar roles.

10 Nov, 2026

Brillio

Data Specialist - R01573377

BRBrillio logo
  • Data & ML

Bangalore, Karnataka, India +1

Salary not listed

Details
11 Nov, 2026

Bounteous

VP, Client Service (MarTech)

BOBounteous logo
  • Leadership
  • Remote
  • Data & ML

United States

Remote

Details
11 Nov, 2026

Hatch IT

Technical Program Manager - AI/ML & Software Delivery

HIHatch IT logo
  • Full time
  • Data & ML

Shirlington, VA

Full time

Details
26 Oct, 2026

Hatch IT

AI Architect (Technical Lead)

HIHatch IT logo
  • Full time
  • Senior level
  • Data & ML

Shirlington, VA

Full time

Details
11 Nov, 2026

Onelineage

Blue Yonder Platform Data Analyst

ONOnelineage logo
  • Remote
  • Data & ML

US - MI +2

Remote

Details
12 Nov, 2026

Wing Assistant

Customer Operations Lead – Onboarding & Activation

WAWing Assistant logo
  • Full time
  • Senior level
  • Remote
  • Data & ML

China

Remote

Details