About Us

Silectis helps companies simplify data engineering. Magpie, our managed data lake platform, provides the security, data integration, and data exploration tools companies need to build an end-to-end advanced, big data analytics capability. Our user-centered tools lets teams get up to speed quickly. Leveraging SQL and a few simple Magpie commands, data engineers can start integrating data from source systems, building data structures, and scheduling data pipelines right away. 

About The Role

As a Software Engineering intern at Silectis, you will work with our platform engineering team to collaboratively craft practical solutions to real-world data problems using our proprietary platform, Magpie. We have a wide variety of clients from multiple disciplines across various industries, all with unique needs.

As a Software Engineering Intern you may

  • Implement, test, and deploy new features to the Magpie platform

  • Deploy infrastructure to AWS, Google Cloud, and Azure

  • Create customer-facing documentation for your features

  • Review code of other engineers

  • Work with version control and task tracking software like Github and Jira

  • Troubleshoot customer issues escalated from Data Engineers

About You

  • You’re interested in pursuing a career in software engineering.

  • You want to gain experience declaring infrastructure as code using Terraform

  • You want to gain functional programming experience in Scala

  • You want to practice good software engineering practices, including testing and code reviews

  • Curious about working in an entrepreneurial start-up environment.

Core Qualifications

  • Currently enrolled and will receive a bachelors in Computer science, Mathematics, Information systems or an equivalent discipline with a planned graduation date between Spring 2023 -Fall 2026

  • Experience with any mainstream programming language (e.g. Python, Scala, Java, C++, Javascript)

Preferred Qualifications

  • Experience with a JVM Language (Scala, Java, or Kotlin)

  • Experience using Git or another version control system

  • Experience with AWS, Google Cloud, or Azure