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Semios

Junior Data Engineer

Posted 2 Days Ago
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In-Office
Vancouver, BC
Junior
In-Office
Vancouver, BC
Junior
Assist in developing cloud-based data systems, maintain data infrastructure, build data pipelines, and support analytics solutions. Collaborate with a team to process and clean data sets, while continuously learning and improving technical skills.
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Who we are:

Founded in 2010, Semios Group is a leading agricultural technology company helping growers, agronomists, and ag retailers manage over 100 million acres across five countries. Semios pioneered variable-rate pheromone-based mating disruption in orchards and has since expanded into a comprehensive portfolio covering crop protection, water management, frost control, automation, and a leading farm management information system. The Semios Group includes trusted brands such as Semios, Agworld, Altrac, and Greenbook. We continue to drive the next generation of digital agriculture, supporting growers, agronomists and ag retailers in improving sustainability and profitability.

Our innovative work has been recognized with several industry awards, including:

  • AgTech Breakthrough – Smart Irrigation Company & Pest Management Solution of the Year
  • Thrive Top 50
  • Google for Startups Accelerator Cohort
  • Global Cleantech Top 100

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.

What you will do:

  • Support the architecture and development of cloud-based systems to manage and improve the interface between Semios data and its consumers.
  • Assist in developing and maintaining infrastructure to process and store data, integrate data-driven models, and automate manual processes.
  • Contribute to the implementation of scalable data processing and analytics solutions in a cloud environment.
  • Help build reliable, monitorable, and fault-tolerant data pipelines and data processes.
  • Develop data tools and utilities that help analytics and data science team members work more efficiently.
  • Work with senior team members to assemble and clean large data sets that meet business requirements.
  • Participate in performance tuning, query optimization, and refactoring under guidance from more experienced engineers.
  • Write and maintain clear documentation of processes and products.

Requirements

We want you to succeed so you will need:

  • Good foundational SQL skills and the ability to write clean, understandable queries
  • Programming experience in Python, NodeJS, or another imperative language
  • A willingness to learn, collaborate, and contribute in both autonomous and team settings
  • Exposure to at least one Data Warehouse technology (e.g., BigQuery, Redshift, Snowflake, Oracle, On-Prem) through coursework, internships, or project experience
  • Strong verbal and written communication skills, with the ability to break down technical concepts for different audiences
  • Some familiarity with working with large data sets and an interest in developing deeper Big Data expertise
  • Introductory experience or coursework related to cloud platforms (AWS, GCP, or similar)
  • Interest in learning orchestration tools (e.g., like Prefect, Airflow, Dagster,  Kubeflow, etc.) and version control (Git)
  • Strong troubleshooting and problem-solving abilities, with a drive to learn how to identify and resolve issues effectively

Nice to have:

  • Experience with relational databases such as Postgres or MySQL
  • Exposure to containerization technologies (Docker, Kubernetes)
  • Interest or coursework in IoT Cloud and IoT data
  • Familiarity with dbt and dlt
  • Academic background or certifications related to Big Data, cloud computing, or data engineering

Salary range: $73,000 to $95,000 per year

We publish a salary range to provide transparency and represent the full growth potential of the role; as a result, job offers are made based on demonstrated mastery and experience, and generally fall near the midpoint.


Benefits

Why this is the opportunity for you:

  • Purposeful Work: Make a global impact by advancing sustainable food production.
  • Our People: Work with a fun, collaborative, and supportive team.
  • Recharge: Generous vacation policy, company-paid holidays and year-end winter break.
  • Work Flexibility: Hybrid working arrangements and strong work-life balance culture.
  • Office location that is convenient via transit and bike paths
  • Extended medical plan, Health Spending Account and Personal Spending Account, with premiums paid by the company
  • Group RRSP, which includes a 3% company paid match after one year of employment

At Semios Group, we value the full range of experience and perspectives people bring—not just what’s listed in a job description. If your background is a close match, we encourage you to apply. We believe diversity drives innovation and meaningful work, and we welcome applicants from all backgrounds. If you need accommodations during the interview process, please let us know.

Top Skills

AWS
BigQuery
Dbt
Dlt
Docker
GCP
Git
Kubernetes
Node.js
Oracle
Python
Redshift
Snowflake
SQL

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