Software Engineer Internship

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DataVisor

51-200 employeesFounded 2013Mountain View, CaliforniaSoftware Development
Actively hiringPaidRemote-friendlyWinter 2027Software Development
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Best applied by Nov 19

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About the role#

We are looking for a Software Engineer Intern for the Winter 2027 term. This is a full-time, remote position based out of Vancouver, British Columbia. You will join our engineering team to work on real-time anti-fraud systems that handle large-scale data.

What you'll do#

  • Build and improve backend services, internal tools, and validation frameworks.
  • Develop scalable pipelines using big-data technologies like Spark, Hadoop, ClickHouse, and Yugabyte.
  • Create real-time data workflows with Kafka and Flink.
  • Contribute to distributed system components within multi-region cloud environments.
  • Maintain frameworks for development, testing, and delivery to ensure high quality and scalability.

What you'll need#

  • Strong Computer Science fundamentals including data structures, algorithms, operating systems, and networking.
  • Proficiency in Java and Spring for backend development.
  • Experience with MySQL and SQL optimization.
  • Basic system design skills focused on scalability, reliability, and performance.
  • Familiarity with testing, automation, and CI/CD processes.
  • Strong communication skills and a collaborative mindset.
  • Experience with messaging systems like Kafka.
  • Familiarity with analytical or distributed databases such as ClickHouse and YugabyteDB.
  • Exposure to big-data frameworks like Spark and Flink.
  • Basic understanding of machine learning concepts and modern AI or LLM tools.
  • Experience with Kubernetes and cloud platforms, preferably AWS.
  • Ability to write automation scripts in Bash or Python.

Location & details#

  • Location: Remote (Vancouver, British Columbia, Canada).
  • Term: Winter 2027.
  • Employment: Full-time internship.
  • Compensation: 20-25 CAD per hour.
Relevant fieldsComputer Science

About DataVisor

DataVisor provides a fraud and risk management platform for organizations. It uses machine learning and device intelligence to detect threats in real time. The company serves clients across multiple industries to protect users throughout the customer lifecycle. Founded in 2013, it operates out of Mountain View, California. The firm maintains a staff of 51 to 200 employees.

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