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Co Op Android Developer Jobs in Ontario (NOW HIRING)

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 ...

Software Developer Co-op/Intern Number of Position(s): 1 Duration: 4 Months Date: Winter Term Jan 4th - Apr 30th, 2027 Location: Hybrid in Ottawa EDUCATIONAL RECOMMENDATIONS Currently a 2nd year ...

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 ...

Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your ...

As a Data Engineer Co-op, you'll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You'll work with modern data tools and platforms ...

As a Data Engineer Co-op, you'll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You'll work with modern data tools and platforms ...

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Co Op Android Developer information

What is a co op Android developer?

A Co-Op Android Developer job is a temporary, paid position for students or early-career developers to gain hands-on experience in Android development. Typically lasting a few months, it involves working with a team to design, develop, and test Android applications. Co-op developers assist with writing code, debugging, and learning industry best practices. The role provides valuable exposure to real-world projects and technologies, helping individuals build skills for a future career in mobile development.

What are the key skills and qualifications needed to thrive as a co op Android developer?

Success as a Co Op Android Developer requires basic programming knowledge, a strong understanding of Java or Kotlin, and familiarity with the Android SDK, often supported by current enrollment in a relevant computer science or engineering program. Experience with version control systems like Git and exposure to integrated development environments (IDEs) such as Android Studio are commonly expected. Strong problem-solving abilities, effective communication, and the willingness to learn quickly are essential soft skills for this position. These skills allow Co Op Android Developers to contribute meaningfully to projects, adapt to team workflows, and build high-quality mobile applications alongside experienced engineers.

What kinds of projects or tasks will I typically work on as a co op Android developer?

As a Co Op Android Developer, you can expect to assist in designing, developing, and testing features for Android mobile applications under the guidance of senior team members. Your responsibilities may include fixing bugs, implementing user interfaces, writing and maintaining code, and participating in code reviews and team meetings. You'll often collaborate with product managers, designers, and quality assurance testers to bring new app features to life and ensure a smooth user experience. This hands-on experience gives you a unique opportunity to learn industry best practices and develop your software engineering skills in a real-world setting.

What are the most commonly searched types of Android Developer jobs in Ontario?

The most popular types of Android Developer jobs in Ontario are:

What cities in Ontario are hiring for Co Op Android Developer jobs?

Cities in Ontario with the most Co Op Android Developer job openings:

Infographic showing various Co Op Android Developer job openings in Ontario as of September 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution.

Field Engineering Co-Op

Kitchener, ON

Acceldata
Software Development • 51 - 200 employees

CA$20 - CA$30/hr

Full-time

Re-posted 9 days ago


Key responsibilities

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

  • Dive into diagnostics around performance, scalability, and deployment for large-scale data environments.

  • Learn how to enable observability across Data, Kubernetes, cloud-native platforms, and Open Source components like spark, hive, kafka etc.


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 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 get to:

  • Shadow and contribute to field-engineering solutions and architecture reviews.
  • Dive into diagnostics around performance, scalability, and deployment for large-scale data environments.
  • Learn how we enable observability across Data, Kubernetes, cloud-native platforms, and Open Source components like spark, hive, kafka etc.
  • Collaborate directly with the Field Architects to troubleshoot issues and propose improvements.
  • Learn designing, developing and deploying reusable automation and AI frameworks to enable observability of various data ecosystems and platforms.
  • Build context across Sales, Product, and Customer Success, understanding how real-world engineering meets customer expectations.
  • See what it means to turn technical solutions into customer value at scale.

This role is built for future Sales Engineers, Solution Architects, or Platform Engineers who want early exposure to enterprise-scale engineering problems. 

If you're excited by debugging distributed systems, working close to customer impact, and seeing how world-class engineering drives business outcomes, this Co-Op is built for you.

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
  • Gain valuable experience at a fast-growing tech startup in Canada.
  • Work alongside senior field engineers and architects to solve complex platform reliability and data operations challenges.
  • Gain hands-on experience with cloud native and distributed systems like Hadoop, Spark, Kafka, Hive, and Kubernetes.
  • Get mentorship from engineers and architects who've scaled infrastructure at leading tech companies.
  • Opportunity for future employment and career growth. It's a launchpad into high-impact, customer-facing technical roles.
  • Join the team that coined the term Data Observability.
RESPONSIBILITIES
  • Collaborate with the field engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
  • Commit to continuous learning and professional development, adapting to new tools, languages, and platforms as required.
  • This position is perfect for individuals who are passionate about technology, eager to solve complex business problems, and possess a strong customer-centric mindset.
REQUIREMENTS
  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field.
  • Strong programming skills in languages such as Java, Scala, and Python.Knowledge of data structures, algorithms, and software development principles.
  • Experience with distributed computing, big data technologies, and cloud platforms is a plus.
  • Excellent problem-solving and analytical abilities.
  • 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.
  • 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
  • Co-op Work History
  • 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
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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