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Best Paying Computer Science Jobs in Ontario (NOW HIRING)

D.) in Computer Science, Data Engineering, Data Science, or a related quantitative field ... We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We ...

Required Qualifications: * Advanced degree in Statistics, Mathematics, Computer Science ... Experience mentoring data scientists and promoting technical best practices. Preferred ...

RQ00689 - Int. Security Specialist

Toronto, ON ยท On-site

CA$65.17 - CA$69.82/hr

Bachelor's in Computer Engineering, Computer Science or IT NIce-to-have: * Certifications: CISM ... Provides guidance to IT staff on security best practices * Develops and maintains cyber security ...

Advocate high-quality and best practices in software design and development; * Close interaction ... Computer Science, etc.); * Master's or Ph.D. is considered an asset; * 2+ years of direct ...

"Make every logistics journey your best one yet" The Company. Founded in 2014, Quincus is a B2B ... To achieve this, we're working on projects that utilize the latest computer science techniques ...

... best practices to accelerate our collective know-how You have: * PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc ...

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or another ... following Data Science best practices. Ability to collaborate effectively through code ...

Integration Specialist / Developer

Toronto, ON ยท On-site

CA$80K - CA$125K/yr

We directly affect the lives of millions of citizens, rate-payers, businesses, and students. We're ... You might have a qualification in software engineering, geomatics, or computer science, but you ...

Showing results 21-40

Best Paying Computer Science information

What are the best paying jobs in computer science?

The best paying jobs in computer science typically include roles such as software architect, machine learning engineer, data scientist, cloud solutions architect, and cybersecurity engineer. These positions often require advanced skills in programming, systems design, and data analysis, as well as experience with the latest technologies. Salaries can vary depending on location, level of experience, and the specific industry, but these roles consistently rank among the highest paying in the tech sector. Many of these positions also offer additional benefits and opportunities for career advancement.

What is the difference between Best Paying Computer Science vs Software Engineer?

AspectBest Paying Computer ScienceSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science, certifications like AWS, CiscoBachelor's in Computer Science or related field, coding certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, corporate IT departments
Employer & Industry UsageUniversities, research institutions, high-tech companiesSoftware development firms, tech giants, consulting
Common Search & Comparison IntentHigh-paying roles in CSSoftware development salaries & roles

Best Paying Computer Science roles often include specialized positions like data scientist or AI researcher, which may require advanced degrees and certifications. Software Engineers focus on designing, coding, and maintaining software applications. While both roles require a computer science background, Best Paying Computer Science positions tend to offer higher salaries due to specialization and industry demand, especially in research or executive roles.

What are common challenges faced by professionals in high paying computer science roles, and how can candidates prepare for them?

Professionals in high-paying computer science roles often face challenges such as keeping up with rapidly evolving technologies, managing complex projects, and collaborating across multidisciplinary teams. Candidates can prepare by regularly updating their technical skills, gaining experience with project management tools, and developing strong communication abilities. Additionally, being adaptable and proactive in learning new programming languages and frameworks can help professionals stay competitive and successful in these demanding positions.

What are the key skills and qualifications needed to thrive in a best paying computer science role?

To excel in top-paying computer science roles, you typically need strong programming skills, expertise in algorithms and data structures, and a relevant computer science degree. Familiarity with technical tools like Python, Java, cloud platforms, and frameworks, along with certifications in areas like AWS or machine learning, is often required. Outstanding problem-solving abilities, teamwork, and effective communication are soft skills that help professionals stand out. These skills and qualifications are crucial for developing innovative solutions, collaborating on complex projects, and driving business success in a technology-driven environment.

What are popular job titles related to Best Paying Computer Science jobs in Ontario?

For Best Paying Computer Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Best Paying Computer Science jobs in Ontario look for?

The top searched job categories for Best Paying Computer Science jobs in Ontario are:

What cities in Ontario are hiring for Best Paying Computer Science jobs?

Cities in Ontario with the most Best Paying Computer Science job openings:

Infographic showing various Best Paying Computer Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Engineer

Klick Health

Toronto, ON โ€ข Hybrid

Full-time

Re-posted 6 days ago


Job description

Company Description

The Klick Group—comprising Klick Health (including Klick Katalyst and btwelve), Klick Media Group, Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Ventures—is an ecosystem dedicated to realizing the full potential of our people and clients in life sciences. Founded in 1997, we have offices in New York, Philadelphia, Saratoga Springs, Toronto, London, São Paulo, and Singapore. Consistently named a Best Managed Company, Most Admired Corporate Culture, and Great Place to Work, Klick is committed to fostering a high-performance, people-first culture with creativity, collaboration, innovation, and impact across everything we do.

About our Omnichannel Enablement Craft
Our Omnichannel Enablement Craft connects channels, data, and technology into unified experiences. The team ensures audiences encounter consistent, coordinated messaging across touchpoints. By aligning media, platforms, and analytics, the craft supports seamless journeys and measurable outcomes. Their work enhances effectiveness, optimization, and insight across the ecosystem.

Job Description

The Data Engineer supports analytics and omnichannel initiatives by designing, building, and maintaining data infrastructure and pipelines that enable scalable, data-driven outcomes. This role works closely with Analytics, Data Science, and Enablement partners to translate requirements into reliable, high-quality data solutions. The focus is on engineering rigor, platform performance, and delivering the data foundation that powers insights across teams and clients.

What You’ll Do

  • Collaborate with Analytics, Data Science, and Enablement partners to gather requirements and translate business needs into data engineering solutions using Python and SQL
  • Design, build, and maintain ETL pipelines and ingestion notebooks to move and transform data across systems
  • Work extensively in Microsoft Fabric to develop and manage data workflows and infrastructure
  • Write and optimize SQL queries for performance, troubleshooting, and data investigation
  • Investigate and resolve data issues in databases using SQL, identifying root causes and implementing fixes
  • Build scalable PySpark-based solutions for large-scale data processing and transformation
  • Develop a strong understanding of system architecture and data flows to support reliable pipeline operations
Qualifications

Required:

  • Strong SQL proficiency — query writing, optimization, and database investigation are core to this role
  • Hands-on experience building and maintaining ETL pipelines and data ingestion workflows
  • Working knowledge of PySpark for large-scale data processing
  • Experience with Microsoft Fabric or similar modern data platforms
  • Solid understanding of end-to-end system architecture and how data moves through it
  • Experience translating technical concepts for non-technical stakeholders, including gathering requirements from clients or business partners

Desired:

  • Comfort and enthusiasm for using AI as a regular part of how work gets done
  • Experience in healthcare, life sciences, media, or agency environments, including marketing or payer analytics datasets
  • Experience working with advertising APIs (e.g. Google Ads, Meta, or similar platforms)
  • Advanced degree (Master’s or Ph.D.) in Computer Science, Data Engineering, Data Science, or a related quantitative field
  • Knowledge of database design and data modeling principles within modern analytics platforms
  • Experience with data visualization tools such as Power BI
  • Familiarity with CI/CD pipelines or Git-based version control

Additional Information

This posting is for an existing vacancy at Klick. The base salary range for this position is between CAD $85,000 - $105,000. The final amount offered will be determined based on several factors such as a candidate's work location, their unique skill set, education, and prior work experience.
#LI-TH1 #LI-Hybrid

Our Commitment to Inclusion
Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of color, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. We're also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience.