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TS
Data Engineer
The Semios Group
Remote, Canada
- $95,000 to $115,000 CAD / year
- Full-time
- Remote
Optimize pipeline performance and cost (partitioning, clustering, incremental models), and lead refactoring and migrations.
Added 1 hour ago
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The Semios Group

Data Engineer

Remote, Canada

Remote

$95,000 to $115,000 CAD / year · Full-time

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Job details

Pay: $95,000 to $115,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Oct 30, 2026

Original job description

Who we are:

Founded in 2010, Semios Group is a leading agricultural technology company helping growers, agronomists, and ag retailers manage over 200 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:

As a Data Engineer at Semios, you will design, build, and maintain scalable, reliable cloud-based data systems that transform raw data into trusted, analysis-ready datasets. You will work closely with our Engineering and Data Science teams to optimize data pipelines, integrate diverse data sources, and build AI-ready data foundations that power innovative products and data-driven insights for agriculture.

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.
Build and maintain models that turn raw measurements into trusted, analysis-ready datasets in a multi-cloud environment.
Design and build reliable, monitorable and fault-tolerant data systems and 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.
Model large, complex datasets that meet business and product requirements.
Optimize pipeline performance and cost (partitioning, clustering, incremental models), and lead refactoring and migrations.
Make our data AI-ready: well-modelled, documented and governed datasets that power LLM-based agents, analytics assistants and ML models.
Build and maintain ingestion pipelines from third-party and partner APIs.
Write clear documentation of data structures and Data APIs across products.

We want you to succeed, so you will need:

Advanced skills in SQL; how to write elegant queries that minimize data processing, scanning, and latency.
Experience with at least one Data Warehouse (BigQuery, Redshift, Snowflake or an on-prem equivalent) and with Postgres or another relational database.
Excellent verbal and written communication skills: a talent for distilling complex ideas for different audiences.
In-depth experience building and operating production data pipelines at scale, with a track record of reliable collection, storage and access.
Hands-on experience with provisioning and developing on cloud platforms, particularly GCP (BigQuery, Cloud SQL, Cloud Run) and AWS.
Proven experience with workflow and scheduling tools like Prefect, Dagster or similar.
The ability to thrive both autonomously and in a team environment.
Excellent troubleshooting skills to rapidly identify and resolve issues.
Experience with dbt (or a similar SQL-based transformation tool) in production.
Experience integrating AI assistants into your development workflow, and a thoughtful view on where they speed things up and where they need close supervision.
Fluency in Python, Node or other imperative language.

Nice to have:

Real-world experience with containers (Docker) & container management systems (Kubernetes).
Experience with IoT data: ingesting and processing time-series sensor data from field devices in the cloud.
Experience building LLM-based agents to aid development and deployment, and AI agents for customer-facing data analytics.
Advanced education in Big Data, whether from academia, or certifications.

Salary range: $95,000 to $115, 000 per year

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

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.
Prioritize Your Well-Being: Access comprehensive health plans designed to support your physical and mental health.
Group RRSP, which includes a 3% company paid match after three months of employment
Office location that is convenient via transit and bike paths

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. If you need accommodations during the interview process, please let us know.

We welcome all applicants regardless of race, gender, orientation, sexual identity, economic class, ability, disability, age, religious beliefs or disbeliefs, or status. We believe that different perspectives and backgrounds are what make a company flourish.

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More about this job

Responsibilities

You will design, build, and maintain scalable cloud-based data systems and pipelines to transform raw data into analysis-ready datasets. Additionally, you will collaborate with engineering and data science teams to optimize data infrastructure and support AI-driven agricultural insights.

Requirements

Candidates must have advanced SQL skills and significant experience operating production data pipelines on cloud platforms like GCP or AWS. Proficiency in Python or Node, along with experience using data transformation tools like dbt and workflow schedulers, is required.

Skills

SQL
Python
Node.js
Data Engineering
Cloud Platforms
GCP
AWS
BigQuery
Postgres
Data Pipelines
dbt
Prefect
Dagster
Kubernetes
Docker
IoT

Benefits

Generous vacation policy
Company-paid holidays
Year-end winter break
Comprehensive health plans
Group RRSP with 3% company match

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
Python
Node.js
BigQuery
Postgres
GCP
AWS
Cloud SQL
Cloud Run
Prefect
Dagster
dbt
Docker
Kubernetes
IoT
Time-series data
LLM
AI agents
Data pipelines
Data warehousing
Agriculture technology
Sustainability
Data modeling
Cloud infrastructure

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