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Co Op Data Engineer Jobs in Kitchener, ON (NOW HIRING)

Acceldata

Software Engineering Co-op

Kitchener, ON · On-site

Enterprise Data Observability is at the intersection of today's hottest and most crucial ... Summary As a Software Engineering Co-op at Acceldata Inc in Canada, you will have the opportunity ...

Acceldata

Field Engineering Co-Op

Kitchener, ON

CA$20 - CA$30/hr

Summary As a Field Engineer Co-op at Acceldata, you'll be working hands-on with complex distributed systems, helping real customers solve deep infrastructure and data observability challenges. You'll ...

Acceldata

Sales Engineering Co-Op

Kitchener, ON

CA$20 - CA$30/hr

Enterprise Data Observability is at the intersection of today's hottest and most crucial ... Summary As a Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales ...

IKO Industries, Inc

HSE Engineering Co-Op

Milton, ON · On-site

CA$23.50 - CA$26.50/hr

We presently have an opportunity for a HSE Engineering Co-Op (8-month or 12-month contract) to join ... Shadow Maintenance Manager to create SOPs and SWIs * Assist the Reliability Engineer with a ...

Teledyne

AI & Automation Engineering Co-op

Waterloo, ON · On-site

CA$46K - CA$61K/yr

Position Summary We are seeking an Engineering Co-op Student to support manufacturing, test, and ... Analyze manufacturing and test data to identify trends and improvement opportunities. * Support ...

New

PepsiCo

PepsiCo Supply Chain Co-Op Fall 2026

Cambridge, ON · On-site

CA$21.25 - CA$37/hr

Working closely with our supply chain professionals to share strategies, data, and experience what ... Currently pursuing a degree in Engineering, Operations/Logistics and Supply Chain Management, and ...

GHD

Laboratory Technician Co-op

Waterloo, ON · Hybrid

Requirement for enrolment in the Co-op stream of a civil, geotechnical, or engineering program ... Other relevant education programs will be considered on a case-by-case basis. * Strong ...

Denso

Process Engineering 2

Guelph, ON

CA$78K - CA$101K/yr

Minimum three (3) years experience as a Process Engineer within the automotive industry or similar manufacturing industry (includes co-op experience at Denso) * Experience in managing and ...

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All JobsCo Op Data Engineer JobsCo Op Data Engineer Jobs in Kitchener, ON

Co Op Data Engineer information

See Kitchener, ON salary details

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How much do co op data engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for co op data engineer in Kitchener, ON is $38.79, according to ZipRecruiter salary data. Most workers in this role earn between $17.72 and $56.29 per hour, depending on experience, location, and employer.

What is a co op data engineer?

A Co-Op Data Engineer job is a temporary, internship-style position where students or early-career professionals gain hands-on experience in data engineering. Co-ops typically work with data pipelines, ETL processes, and databases to help collect, process, and analyze data efficiently. They collaborate with data teams to optimize data infrastructure and may use tools like SQL, Python, and cloud platforms. The role provides exposure to real-world data challenges, enabling participants to build technical skills and industry experience.

What types of projects or tasks does a co op data engineer typically work on during their placement?

Co Op Data Engineers often assist with data pipeline development, data cleaning, and supporting the implementation of ETL (Extract, Transform, Load) processes under the guidance of experienced engineers. They may be tasked with troubleshooting data issues, writing and optimizing SQL queries, or helping to build data visualizations for business stakeholders. In many organizations, Co Op Data Engineers also participate in team meetings, collaborate with data analysts or software engineers, and contribute to ongoing projects involving large datasets. This hands-on experience provides valuable exposure to real industry challenges, helps build technical proficiency, and allows for networking opportunities within the data engineering field.

What are the key skills and qualifications needed to thrive as a co op data engineer, and why are they important?

To thrive as a Co Op Data Engineer, you need a solid foundation in computer science fundamentals, data structures, programming (typically Python, SQL, or Java), and analytical thinking, often supported by progress toward a related degree. Familiarity with data management tools, database systems (like MySQL or PostgreSQL), and exposure to ETL processes or cloud platforms (such as AWS or Azure) is highly beneficial. Strong problem-solving skills, eagerness to learn, attention to detail, and effective communication enhance your ability to contribute to a team-oriented environment. These skills and qualities ensure you can adapt quickly, collaborate with professionals, and deliver reliable data solutions in a fast-paced tech setting.

What are the most commonly searched types of Data Engineer jobs in Kitchener, ON?

The most popular types of Data Engineer jobs in Kitchener, ON are:

What are popular job titles related to Co Op Data Engineer jobs in Kitchener, ON?

For Co Op Data Engineer jobs in Kitchener, ON, the most frequently searched job titles are:

What cities near Kitchener, ON are hiring for Co Op Data Engineer jobs?

Cities near Kitchener, ON with the most Co Op Data Engineer job openings:

Co Op Data Engineer jobs near you
Infographic showing various Co Op Data Engineer job openings in Kitchener, ON as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,691 per year, or $38.8 per hour.

Software Engineering Co-op

Acceldata

Kitchener, ON • On-site

Full-time

Re-posted 14 days ago

Job description

ABOUT US
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products.
 
Enterprise Data Observability is at the intersection of today's hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products.
 
Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company whose investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.

Summary

As a Software Engineering Co-op at Acceldata Inc in Canada, you will have the opportunity to work on exciting big data projects and create a Data platform from scratch, learn from experienced professionals, and make a real impact by showcasing your effort directly to the enterprise.  In this role, you will design, build, and scale components of the Acceldata Open Data Platform (ODP), contributing to open-source technologies and solving real-world challenges in large-scale data infrastructure. We seek passionate, self-driven individuals eager to make a tangible impact, learn continuously, and deliver solutions that enable organizations to unlock the full potential of the open-source community.

This is a 4 month assignment, 40 hours per week, with required on-site presence at 151 Charles Street West, inside the Communitech Innovation Center.

Why Intern With Us:

At Acceldata, you won't just be writing code; you'll be shaping the foundation of modern data platforms used by some of the world's largest enterprises. You'll work alongside seasoned engineers and open-source contributors who are passionate about solving complex distributed systems challenges at scale. Every project you take on will directly impact how a data platform is managed, observed, and optimized across hybrid and cloud ecosystems.

This is your chance to build technology that truly matters, software that drives mission-critical pipelines, scales to petabytes, and influences the open-source community at large. We move fast, value creativity, and reward innovation. If you're looking for a place where your ideas can become real systems and your work can be seen, used, and respected across the data ecosystem, Acceldata is where you belong.

RESPONSIBILITIES

  • Collaborate with the engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.

  • Participate actively in the entire software development lifecycle, including requirement analysis, design, implementation, testing, and maintenance.

  • Leverage past experience with at least one Apache project (e.g., Apache Hadoop, Apache Spark, Apache Kafka) to contribute effectively to the project.

  • Utilize knowledge of open-source community best practices and development methodologies.

  • Identify and troubleshoot issues, ensuring the delivery of high-quality software solutions.

  • Participate in code reviews to maintain code quality and share knowledge with team members.

  • Commit to continuous learning and professional development, adapting to new tools, languages, and platforms as required.

  • Stay updated with the latest advancements in open-source projects and contribute to the community as needed.

REQUIREMENTS

  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field.

  • Strong programming skills in languages such as Java or Scala, and Python.

  • Developed and prepared project build models associated with Maven, Gradle, or SBT.

  • Hands-on experience in Github & Nexus management and its use cases.

  • Solid understanding of data structures, algorithms, and software development principles.

  • Experience with distributed computing, big data technologies, and cloud platforms is a plus.

  • Strong understanding and hands-on experience with Kubernetes, including deploying, managing, and scaling applications.

  • Familiarity with Kubernetes concepts such as Pods, Services, Deployments, StatefulSets, ConfigMaps, and Secrets.

  • Knowledge of data structures, algorithms, and software development principles.

  • Excellent problem-solving and analytical abilities.

  • Understanding of the big data ecosystem, including data ingestion, processing, and storage technologies.

  • Strong communication skills, both verbal and written, to effectively collaborate with cross-functional teams.

  • Proven ability to work well in a team environment, contributing to a collaborative culture.

  • Enthusiasm to learn and adapt to new technologies.

Application Documents Required
  • Proof of Co-Op enrollment
  • Co-Op Work History, if applicable
  • Resume
  • Grade Report
Compensation and Benefits Information
  • Apple Mac Equipment
  • Catered lunch once a week in the office
  • Gym with onsite showers
  • Games Rooms
  • Designated bicycle room 
  • Drinks and snacks
 
 
 
$20 - $30 an hour
The hourly rate offered will vary within the range based on the candidate's education and years of relevant experience. Candidates with more advanced degrees and/or extensive experience may be considered for compensation at the higher end of the range.
Acceldata is an equal-opportunity employer
 
At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.
 
#LifeAtAcceldata is all about working with some of the best minds in the industry and experiencing a culture that values an 'out-of-the-box' mindset. If you want to push boundaries, learn continuously, and grow to be the best version of yourself, Acceldata is the place to be! 
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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