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Engineering Technology Jobs in Ontario (NOW HIRING)

TTEC Digital

Engineering Tech Lead

Toronto, ON · Remote

Lead developer role, three specialization tracks . We build voice, desktop, intelligence, and AI combined into a single real-time platform - event-driven, high-throughput, low-latency. * A tech lead ...

VitalBio

Hardware Engineering Tech Lead

Oakville, ON

CA$145K - CA$165K/yr

Our mission is to democratize health technology, making healthcare more accessible and proactive. Our global team of experts spans chemistry, software, engineering, and microfluidics. We thrive on ...

Tetra Tech

Structural Technologist

Mississauga, ON · On-site

CA$70K - CA$120K/yr

Tetra Tech is adding a Structural Engineering Technologist to our Power team. This role can be performed from anywhere in Canada. Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve ...

Kawartha Controls

ON · On-site

Mechanical Engineering Technology * Manufacturing Engineering Technology * Fluid Power / Hydraulics / Pneumatics * CNC Programming * Precision Machining * Industrial Engineering Technology * or a ...

Tetra Tech

Senior Civil Technologist

Mississauga, ON

CA$100K - CA$150K/yr

Tetra Tech is adding a Senior/Lead Civil Engineering Technologist to our Power team based in Calgary, Alberta. Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most ...

Cpus Engineering Staffing Solutions Inc.

Utilize your expertise in engineering technology to enhance asset lifecycle management in a hybrid work environment. In this pivotal role, you will define the digital engineering vision while ...

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All JobsEngineering Technology JobsEngineering Technology Jobs in Ontario

Engineering Technology information

See Ontario salary details

$12

$25

$38

How much do engineering technology jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for engineering technology in Ontario is $25.29, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $30.53 per hour, depending on experience, location, and employer.

What is engineering technology?

Engineering technology is a field focused on applying engineering principles and technical skills to help solve real-world problems in industries like manufacturing, construction, and electronics. Professionals in this field often work with modern tools, equipment, and processes to implement and maintain engineering solutions. Unlike traditional engineers, engineering technologists typically emphasize practical applications and hands-on work rather than theoretical design. Careers in engineering technology can include roles such as engineering technologist, quality assurance specialist, or field service engineer.

What are some typical projects or tasks an engineering technologist might work on in a collaborative team setting?

Engineering Technology professionals often work on multidisciplinary teams to design, implement, and improve systems or products. Typical projects include developing prototypes, troubleshooting equipment, conducting tests to ensure quality standards, and optimizing manufacturing processes. Collaboration with engineers, technicians, and project managers is common, and communication skills are key for sharing technical information and coordinating tasks. This teamwork helps ensure projects are completed efficiently and meet both technical and business objectives.

What are the key skills and qualifications needed to thrive as an engineering technologist, and why are they important?

To thrive as an Engineering Technologist, you need a solid background in applied engineering principles, mathematics, and problem-solving, usually supported by an associate's or bachelor's degree in engineering technology. Familiarity with CAD software, laboratory testing equipment, and industry-specific certifications such as NICET or ISA are often required. Strong teamwork, attention to detail, and effective communication skills enable technologists to excel in project-based environments. These abilities ensure accurate implementation of engineering designs, contribute to innovation, and support efficient collaboration with engineers and other technical professionals.

What is the difference between Engineering Technology vs Mechanical Engineering?

AspectEngineering TechnologyMechanical Engineering
CredentialsAssociate's or Bachelor's in Engineering TechnologyBachelor's or higher in Mechanical Engineering
Work EnvironmentPractical, hands-on roles, labs, manufacturingTheoretical, design, research, and development
Employer & Industry UsageManufacturing, technical support, applied engineeringDesign firms, R&D, aerospace, automotive

Engineering Technology focuses on applying engineering principles in practical settings, often requiring technical certifications and hands-on work. Mechanical Engineering emphasizes design, analysis, and theoretical problem-solving, typically involving higher-level math and research. Both roles are vital in industry but serve different functions based on education and job focus.

Is engineering technology a good major?

Engineering technology is a practical major that prepares students for technical roles in industries such as manufacturing, construction, and electronics. Graduates often work as technicians or technologists, using tools like CAD software and requiring certifications like EIT or CET; the field offers steady employment and opportunities for advancement.

What can I do with engineering technology?

Engineering technology professionals work in areas such as manufacturing, construction, and maintenance, applying technical skills to develop, test, and improve products and systems. They often use tools like CAD software and may hold certifications like Certified Engineering Technician (CET). These roles typically involve problem-solving, technical communication, and working in team environments to support engineering projects.
Engineering Technology jobs near you
Infographic showing various Engineering Technology job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $52,613 per year, or $25.3 per hour.

Engineering Tech Lead

TTEC Digital

Toronto, ON • Remote

Full-time

Re-posted 22 days ago

Job description

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.

TTEC Digital seeks an Engineering Technical Lead to join our team. This role is a full-time and fully remote opportunity! 

The work:

We're an innovation group inside TTEC (NASDAQ: TTEC), building the next generation of AI CX tools - automated QA, conversational analytics, knowledge assist, and agentic automation - for the world's biggest brands and the millions of customers they serve. We move like an early-stage startup, backed by the scale, distribution, and enterprise client base of a company that's been obsessed with customer experience since 1982. 

This is the rare seat where getting in early actually matters at scale. TTEC is a public company at an AI inflection point. Ship the right products into thousands of live enterprise deployments and you don't just move a metric - you move the trajectory of the company and the value of the stock. The leverage is real, and the work compounds. 

Who we hire - the DNA 

  • Self-starters and do-ers with grit - hackers in the best sense, with a startup mentality and a show-me bias: working software over slides, prototypes over proposals. 

  • Want to learn, love new technology. This platform is built on the latest technology, and that technology changes and advances monthly. You adapt to change quickly - new tools, new models, new priorities - without drama. 

  • Master debuggers and problem solvers. You love solving complex problems, you think outside the box, and you multitask across domains without losing the thread. 

  • AI-native. You work with AI on all levels - you understand the technology around you (LLMs, SLMs, RAG, knowledge graphs, agents, training, eval) and you use AI tools daily to exponentially increase your velocity. 

  • Distributed-systems literate. High-efficiency, event-driven, low-latency systems are our world; you understand what that demands. 

  • Innovators who ship. You demonstrate ideas easily, fail fast, and move forward. You make committed timelines and hit them. 

  • You consider yourself exceptional - and you like winning. So do we. 

No one will have everything in this description. We're looking for well-rounded, smart people who move fast.

What You Will Do:
The role: 
  • Lead developer role, three specialization tracks. We build voice, desktop, intelligence, and AI combined into a single real-time platform - event-driven, high-throughput, low-latency.
  • A tech lead here is a player-coach - you write the hardest code in the squad, and you lead it. 
  • You'll build Go services on the event bus, AI/ML services and pipelines, or connector frameworks to CCaaS/CRM/telephony - most engineers here end up touching more than one.
  •  This is a startup environment on a fast train: 1-week sprints, Friday demos, fail fast and move forward. 

What you'll own:

  • Services on the event bus (NATS-class) high-throughput transactional data models and WebSocket backends 
  • Your track's slice - AI/ML pipelines (RAG, streaming inference, eval) or connectors (CCaaS/CTI, CRM, SIP/RTP) or core platform services 
  • Your latency budget your committed timelines. 

Who you are:

  • You consider yourself exceptional - and can show it.
  • Self-starter, hacker, grit, loves to learn, loves winning.
  • You demonstrate ideas easily: a working prototype beats a slide deck every time.
  • You understand requirements and stay locked on them - we work with all-new technology constantly, and you don't get wrapped around shiny objects
  • You evaluate fast, adopt what earns it, and keep shipping. Fail fast, move forward. A team player who makes and hits committed timelines. 
What You Will Bring:

  • 9+ years hands-on; same language bar (HIGH++ Go, 3+ languages) and same AI, debugging, and velocity bar as the Senior Software Engineer role - you must out-code the squad you lead. 

  • Has led a squad and shipped a hard real-time or platform product end-to-end, on committed timelines. 

  • Sets patterns by shipping them; owns the code-review bar and raises the engineers around you. 

  • Owns delivery - moves blocked work, doesn't just report it. Show-me mentality: your squad demos working software every Friday. 

  • Keeps the respect of senior engineers through technical credibility, and manages change without drama - priorities and tech will shift under you. 

  • Event-driven systems in production (NATS / Kafka / Redpanda-class) - you think in pub/sub. Heavy WebSocket, real-time, low-latency.

  • Mid-tier or better hands-on AI experience in the code and product - you've built with LLM APIs, embeddings, RAG, or model serving, not just chatted with a bot. And you use AI-assisted development daily to multiply your velocity. 

  • Strong ++ for data graph/knowledge graph background, or hands-on AI/ML model experience (training, serving, eval). 

  • Efficiency in development - we deal in speed. You ship clean code fast, unblock yourself, and your estimates hold. 

  • A master debugger - you read unfamiliar code, a stack trace, or a flaky partner API and see it; you know where the breakpoint goes. 

  • GCP preferred. Voice (SIP/RTP/SIPREC), CCaaS/CTI, or desktop-adjacent experience a strong plus depending on track.

  • Track emphasis:

    1. Backend/Platform: data models, event bus, plugin runtime.
    2. AI/ML: deeper Python, production GenAI/NLU, streaming inference, eval frameworks, RAG.
    3.  Integrations: CCaaS/CTI platforms (Genesys, Amazon Connect, NICE, Five9), CRM connectors, SIP/RTP, fault-tolerant connector design. 
#LI-JF1 #LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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