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Computer Science Engineer Jobs in Ontario (NOW HIRING)

We are in search of passionate Research Scientists with a specialization in Computer Vision to ... Collaborative Engineering and Growth: Engage with a diverse team where collaborative efforts lead ...

To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Quincus Research teams collaborate ...

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

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Computer Science Engineer information

See Ontario salary details

$22K

$81.7K

$165K

How much do computer science engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for computer science engineer in Ontario is $81,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $102,000.00 per year, depending on experience, location, and employer.

Can computer engineers make $500,000?

Computer engineers can potentially earn $500,000 or more annually, especially in senior roles, management, or specialized fields like software architecture, data science, or cybersecurity. Achieving this level often requires extensive experience, advanced skills, and sometimes working in high-paying industries or locations with a competitive compensation market.

What engineers make $300,000 a year?

Senior computer science engineers, especially those in specialized fields like software architecture, machine learning, or cybersecurity, can earn $300,000 or more annually, often with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation may include base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth potential.

What engineers make $500,000?

High-level computer science engineers, such as software architects, machine learning engineers, and senior data scientists, can earn $500,000 or more annually, especially with extensive experience, specialized skills, and working in high-paying industries like finance or technology. Achieving this level often requires advanced degrees, certifications, and leadership roles.

What are some typical projects or tasks a Computer Science Engineer might work on within a multidisciplinary team?

Computer Science Engineers often collaborate with professionals from diverse backgrounds such as product managers, designers, and data analysts. Typical projects may include developing scalable software applications, optimizing algorithms for performance, or integrating new technologies into existing systems. These engineers are frequently involved in code reviews, planning meetings, and cross-functional brainstorming sessions to ensure solutions meet both technical and business requirements. This collaborative environment not only enhances technical skills but also fosters communication and project management abilities.

What are Computer Science Engineers?

Computer Science Engineers are professionals who apply principles of computer science, engineering, and mathematics to design, develop, test, and maintain computer systems, software, and networks. They work on a wide range of technologies, from creating applications and operating systems to improving network security and optimizing hardware performance. Their role often involves problem-solving, programming, and collaborating with other engineers and IT specialists to deliver efficient technology solutions.

What work do computer science engineers do?

Computer science engineers design, develop, and maintain software systems, applications, and algorithms. They often work with programming languages, data structures, and computer hardware to solve technical problems and improve technology performance. Their tasks may include coding, testing, debugging, and collaborating with teams on system architecture and user requirements.

What are the key skills and qualifications needed to thrive as a Computer Science Engineer, and why are they important?

To thrive as a Computer Science Engineer, you need a solid background in programming, algorithms, data structures, and computer systems, often supported by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience using development tools, version control systems (such as Git), and relevant certifications like AWS or Cisco, are highly valued. Strong problem-solving abilities, teamwork, and effective communication help set exceptional engineers apart. These skills are vital for designing, developing, and maintaining reliable software solutions in ever-evolving technical environments.
What are popular job titles related to Computer Science Engineer jobs in Ontario? For Computer Science Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science Engineer jobs in Ontario look for? The top searched job categories for Computer Science Engineer jobs in Ontario are:
Infographic showing various Computer Science Engineer job openings in Ontario as of June 2026, with employment types broken down into 2% As Needed, 53% Full Time, 36% Part Time, 7% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $81,723 per year, or $39.3 per hour.

Data Engineer - Spark, Databricks & Snowflake - DESDSAS

NavitasPartners

Oshawa, ON • On-site

$30/hr

Other

Posted 19 days ago


Job description

Job Title: Data Engineer - Spark, Databricks & Snowflake

Position Overview:
We are seeking a Data Engineer with strong expertise in modern data platforms to build scalable data pipelines and cloud-based data solutions for banking, financial services, and insurance clients.

Key Responsibilities:

  • Design and develop enterprise-grade data pipelines using Spark and Databricks.
  • Build and optimize Snowflake data warehouse solutions.
  • Develop ETL/ELT frameworks for structured and unstructured data.
  • Implement data quality, governance, and security controls.
  • Integrate data from core banking, payments, lending, risk, and regulatory systems.
  • Optimize data processing performance and cloud costs.

Required Skills:

  • Apache Spark (PySpark/Scala)
  • Databricks
  • Snowflake
  • SQL, Python
  • Azure/AWS/GCP Data Services
  • Data Modeling
  • ETL/ELT Development
  • CI/CD and DevOps Practices
  • Data Lake Architecture

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 5+ years of Data Engineering experience.
  • Experience implementing enterprise data platforms.

Mandatory Industry Experience:

  • Must have prior BFSI experience supporting banking, insurance, capital markets, lending, payments, wealth management, or risk management functions.


For more details reach at resumes@navitassols.com