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Data Engineer



Software Engineering, Data Science
Vancouver, BC, Canada
Posted on Thursday, July 4, 2024

Who we are:

We are a bunch of people who really care about agriculture, food and the challenges facing farming. We want to help farmers with data driven decision making to help nature feed a growing population. Join our team of expert engineers, agronomists, entomologists, crop researchers, and data scientists who are continually conducting research to help drive innovation in agriculture.

Semios is a market leader in leveraging the internet-of-things (IoT) and big data to improve the sustainability and profitability of specialty crops. With 500 million data points being reported by our sensors every day, we leverage our big data analytics, such as in-depth pest and disease modeling, to empower tree fruit and tree nut growers with decision-making tools to minimize resources and risks.

Our innovative work has received several industry awards:

One of our partners produced this short video which shows what we do and our positive environmental impact.

We know our journey is only achievable by having a great team who shares ideas, tries new things and learns as we go.

Who you are:

Motivated by meaningful work, you are looking for more than just a job; you want to work for a dynamic, growing company that finds solutions to real-life problems, such as helping the world reduce the use of pesticides and helping nature feed a growing population. Your ideal work environment includes a collaborative team spirit with the opportunity to learn and grow as you take the initiative to try new things.

You are looking to make a difference, you want to know your work with big data has real world benefits. Plus you are excited to make your mark by driving the future of Semios’ data engineering approaches and infrastructure.

What you will do:

  • Help architect and build Cloud based systems to manage and improve the interface between Semios data and its consumers.
  • Design, develop and maintain scalable infrastructure to process and store data, integrate data­ driven models and automate manual processes.
  • Implement highly scalable big data analytics systems in a cloud environment.
  • Design and build reliable, monitorable and fault-tolerant data systems & data processes.
  • Create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Data performance and query optimization, refactoring and migration.
  • Write clear documentation of data structures and Data APls across products.