Delivery Engineer Internship Winter 2026 at DataVisor

Vancouver, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Linux, Ansible, Docker, K8S, Mysql, Kafka, Spark, Hadoop, Clickhouse, Cassandra, Java, Python, Communication

Industry

Software Development

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. BS/MS students majoring in Computer Science, Engineering or a related subject, Current Co-op students who will graduate in 2026 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. Gain valuable hands-on experience Work closely with experienced professionals in the field. Opportunity to contribute to real projects Flexible schedule and hybrid work.

Responsibilities

The Delivery Engineer intern will leverage fraud detection SaaS products to solve clients' fraud and risk problems, providing technical solutions and consultative services. Responsibilities include onboarding clients, coordinating with internal teams, and coding for system integration.