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Intern Kafka Developer Jobs in Vancouver, BC (NOW HIRING)

Intern Kafka Developer information

What are the key skills and qualifications needed to thrive as an Intern Kafka Developer, and why are they important?

To thrive as an Intern Kafka Developer, you generally need a foundational understanding of distributed systems, Java or Scala programming, and basic knowledge of event-driven architecture, often supported by coursework or related projects. Familiarity with Apache Kafka, message brokers, and tools like Zookeeper, as well as version control systems like Git, is typically required. Strong problem-solving, eagerness to learn, and effective communication help you collaborate on technical tasks and adapt to new challenges. These skills and qualities are crucial for contributing to real-time data projects and ensuring reliable message streaming in development teams.

What types of projects and tasks can an Intern Kafka Developer expect to work on during their internship?

As an Intern Kafka Developer, you can expect to work on tasks such as building, testing, and deploying data pipelines using Apache Kafka, assisting with the integration of Kafka with other data systems, and helping monitor the performance and reliability of message streaming. You'll collaborate closely with senior developers, DevOps, and data engineering teams to resolve technical issues and implement new features. Interns often gain hands-on experience with real-world data flows, troubleshooting, and automation, making this an excellent opportunity to develop both technical and teamwork skills in a fast-paced, collaborative environment.

What does an Intern Kafka Developer do?

An Intern Kafka Developer assists in building, maintaining, and troubleshooting data streaming applications using Apache Kafka. They typically work on tasks such as developing Kafka producers and consumers, managing Kafka clusters, and ensuring data flows efficiently between systems. Interns often collaborate with senior developers to learn best practices in data streaming, help monitor system performance, and contribute to real-time data processing solutions. This role is ideal for those looking to gain hands-on experience with distributed systems and big data technologies.

What is the difference between Intern Kafka Developer vs Junior Kafka Developer?

AspectIntern Kafka DeveloperJunior Kafka Developer
Required CredentialsBasic coursework, internship programRelevant degree, some hands-on experience
Work EnvironmentInternship setting, supervised tasksEntry-level professional role, team collaboration
Employer & Industry UsageTech companies, startups, internshipsTech firms, financial services, data companies
Common Search & ComparisonYesYes

The main difference between an Intern Kafka Developer and a Junior Kafka Developer lies in experience and responsibilities. Interns are typically students or recent graduates gaining initial exposure, while Junior Developers have some practical experience and handle more independent tasks. Both roles are common in tech and data industries, but Junior Kafka Developers are more likely to be full-time employees with ongoing responsibilities.

What job categories do people searching Intern Kafka Developer jobs in Vancouver, BC look for? The top searched job categories for Intern Kafka Developer jobs in Vancouver, BC are:
Delivery Engineer Internship Spring/Summer 2026 - Canada

Delivery Engineer Internship Spring/Summer 2026 - Canada

DataVisor

Vancouver, BC • Remote

Full-time, Temporary, Internship

Posted 6 days ago


Job description

About DataVisor:


DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Summary

Our Delivery Engineering Team is looking for a Delivery Engineer intern (DEI), who is responsible for leveraging our state-of-art fraud detection SaaS products to solve our key clients' fraud and risk problems. You provide technical solutions and consultative services of our state-of-art fraud detection SaaS products to a portfolio of Fortune 500 customers in FinTech, Banking, E-commerce industries. From managing detection system performance to debugging product issues, you are an expert who can provide technical guidance and share best practices with customers on using our Machine Learning models, Rules Engine, and Device Intelligence Signals to detect fraud and risks. You work cross-functionally with Engineering and Product teams to implement new ideas to our analytics solution.

This position is ideal for those who are majoring in Computer Science or Computer engineering who would like to gain some hands-on experience in fraud detection and machine learning before graduation. This internship could lead to a full-time position after graduation.

Responsibilities


1. Work with the Solution Architect to design the delivery solution for the clients.
2. Onboarding for the new client or new use case of existing clients.
3. Coordinate with internal teams like R&D, infrastructure, algorithm and other teams, to debug and fix issues for the clients.
4. Coordinate with the vendors for any issue/requirement and fix/finish.
5. Coding for the integration with the client system.
6. Create documents for the process of each project, including design doc, architecture, training doc etc.

Requirements

  • BS/MS students majoring in Computer Science, Engineering or a related subject, Current Co-op students who will graduate in winter 2026 or summer 2027
  • Canadian citizen, permanent resident only
  • Experience with Linux, Ansible, Doker, K8S etc.
  • Experience with Mysql, kafka etc.
  • Experience with Spark, Hadoop, Clickhouse, Cassandra is a plus.
  • Experience with coding by Java/Python is a plus.
  • Strong communication skill.

Benefits

  • Gain valuable hands-on experience
  • Work closely with experienced professionals in the field
  • Opportunity to contribute to real projects
  • Flexible schedule and hybrid work
  • Competitive pay, range from 20-25 CAD per hour