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:<ul><li>AgTech Breakthrough – Smart Irrigation Company &amp; Pest Management Solution of the Year</li><li>Thrive Top 50</li><li>Google for Startups Accelerator Cohort</li><li>Global Cleantech Top 100</li></ul>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:You’re driven by purpose and motivated by work that matters. You’re looking for more than a role, you want to be part of a growing, forward-thinking company solving real-world challenges to improve how farming works, today and for the future. What you will do:<ul><li>Architect and build Cloud based systems to manage and improve the interface between Semios data and its consumers.</li><li>Design, develop and maintain scalable infrastructure to process and store data, integrate data­ driven models and automate manual processes.</li><li>Implement highly scalable big data analytics systems in a cloud environment.</li><li>Design and build reliable, monitorable and fault-tolerant data systems &amp; data processes.</li><li>Create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.</li><li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>Continuously identify bottlenecks in the data stack and optimize queries and processes for cost and performance.</li><li>Write clear documentation of data processes and  products.</li></ul><h3></h3>RequirementsWe want you to succeed so you will need: <ul><li>Advanced skills in SQL; how to write elegant queries; written for humans first, machines second.</li><li>The ability to thrive both autonomously and in a team environment.</li><li>Hands-on experience with provisioning and developing on cloud platforms (familiarity with GCP is a definite plus).</li><li>Experience with at least one Data Warehouse (BigQuery, RedShift, Snowflake, On-Prem).</li><li>Excellent verbal &amp; written communication skills: a talent to distill complex ideas to different audiences.</li><li>An in-depth experience with Big Data. A proven track-record of effective collection, storage, and access.</li><li>Proven experience with workflow and scheduling tools (e.g., like Prefect, Airflow, Dagster, Kubeflow, etc.) and version control (Git).</li><li>A fluency in Python, Node or other imperative language or ability to learn quickly and with enthusiasm.</li><li>Excellent troubleshooting skills to rapidly identify and resolve issues.</li></ul>Nice to have:<ul><li>Significant exposure to at least one relational database (Postgres, MySQL).</li><li>Real world experience with containers (Docker) &amp; container management systems (Kubernetes).</li><li>Experience or Interest in working with IoT Cloud and IoT data.</li><li>Familiarity with data transformation tools (dbt, SQLMesh, Dataform) and syncing tools (e.g., dlt, Fivetran, Airbyte).</li><li>Experience enabling Machine Learning workflows (MLOps).</li><li>Advanced education in Big Data and/or Data Engineering whether from Academia or Certifications.</li></ul>Salary range: $98,000 - $125,000 per yearWe publish a salary range to provide transparency and represent the full growth potential of the role; as a result, salary offers are made based on demonstrated mastery and experience, and generally fall near the midpoint.BenefitsWhy this is the opportunity for you:<ul><li>Purposeful Work: Make a global impact by advancing sustainable food production.</li><li>Our People: Work with a fun, collaborative, and supportive team.</li><li>Recharge: Generous vacation poli<a href="https://semios.workable.com/backend/jobs/5454970/app-form"></a>cy, company-paid holidays and year-end winter break.</li><li>Work Flexibility: Hybrid working arrangements and strong work-life balance culture.</li><li>Prioritize Your Well-Being: Access comprehensive health plans designed to support your physical and mental health.</li><li>Group RRSP, which includes a 3% company paid match after one year of employment</li><li>Office location that is convenient via transit and bike paths</li></ul>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.

Semios is a scalable, data analytics platform for growers and ag professionals that helps predict, identify, and prevent pest and disease pressure. The Semios analytics engine draws on multiple sources of data and information including a robust, wireless network of in-canopy sensors on every customer farm measuring climate, soil and insect pest activity. Leveraging a network of 2 million sensors, providing updates every 10 minutes, we apply big data analytics and machine learning to reduce and mitigate crop risks for growers. Semios improves sustainability by promoting reduced dependency on pesticides and crop management inputs while helping to increase the value of harvests through reduced loss and increased quality.

Data Engineer

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:<ul><li>AgTech Breakthrough – Smart Irrigation Company &amp; Pest Management Solution of the Year</li><li>Thrive Top 50</li><li>Google for Startups Accelerator Cohort</li><li>Global Cleantech Top 100</li></ul>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:You’re driven by purpose and motivated by work that matters. You’re looking for more than a role, you want to be part of a growing, forward-thinking company solving real-world challenges to improve how farming works, today and for the future.&nbsp;What you will do:<ul><li>Architect and build Cloud based systems to manage and improve the interface between Semios data and its consumers.</li><li>Design, develop and maintain scalable infrastructure to process and store data, integrate data­ driven models and automate manual processes.</li><li>Implement highly scalable big data analytics systems in a cloud environment.</li><li>Design and build reliable, monitorable and fault-tolerant data systems &amp; data processes.</li><li>Create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.</li><li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>Continuously identify bottlenecks in the data stack and optimize queries and processes for cost and performance.</li><li>Write clear documentation of data processes and&nbsp; products.</li></ul><h3></h3>RequirementsWe want you to succeed so you will need: <ul><li>Advanced skills in SQL; how to write elegant queries; written for humans first, machines second.</li><li>The ability to thrive both autonomously and in a team environment.</li><li>Hands-on experience with provisioning and developing on cloud platforms (familiarity with GCP is a definite plus).</li><li>Experience with at least one Data Warehouse (BigQuery, RedShift, Snowflake, On-Prem).</li><li>Excellent verbal &amp; written communication skills: a talent to distill complex ideas to different audiences.</li><li>An in-depth experience with Big Data. A proven track-record of effective collection, storage, and access.</li><li>Proven experience with workflow and scheduling tools (e.g., like Prefect, Airflow, Dagster, Kubeflow, etc.) and version control (Git).</li><li>A fluency in Python, Node or other imperative language or ability to learn quickly and with enthusiasm.</li><li>Excellent troubleshooting skills to rapidly identify and resolve issues.</li></ul>Nice to have:<ul><li>Significant exposure to at least one relational database (Postgres, MySQL).</li><li>Real world experience with containers (Docker) &amp; container management systems (Kubernetes).</li><li>Experience or Interest in working with IoT Cloud and IoT data.</li><li>Familiarity with data transformation tools (dbt, SQLMesh, Dataform) and syncing tools (e.g., dlt, Fivetran, Airbyte).</li><li>Experience enabling Machine Learning workflows (MLOps).</li><li>Advanced education in Big Data and/or Data Engineering whether from Academia or Certifications.</li></ul>Salary range: $98,000 - $125,000 per yearWe publish a salary range to provide transparency and represent the full growth potential of the role; as a result, salary offers are made based on demonstrated mastery and experience, and generally fall near the midpoint.BenefitsWhy this is the opportunity for you:<ul><li>Purposeful Work: Make a global impact by advancing sustainable food production.</li><li>Our People: Work with a fun, collaborative, and supportive team.</li><li>Recharge: Generous vacation poli<a href="https://semios.workable.com/backend/jobs/5454970/app-form"></a>cy, company-paid holidays and year-end winter break.</li><li>Work Flexibility: Hybrid working arrangements and strong work-life balance culture.</li><li>Prioritize Your Well-Being: Access comprehensive health plans designed to support your physical and mental health.</li><li>Group RRSP, which includes a 3% company paid match after one year of employment</li><li>Office location that is convenient via transit and bike paths</li></ul>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.&nbsp;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.

Data Engineer

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Semios

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