Data Engineer, Semios
$95-115k
2+ days a week in office
Data analytics platform for farmers
Be an early applicant
Data analytics platform for farmers
101-200 employees
Be an early applicant
$95-115k
2+ days a week in office
101-200 employees
Company mission
To simplify the grower's experience, leveraging big data analytics and machine learning to help them mitigate crop risk so they can focus on growing more food, more sustainably.
Role
Who you are
- 3–5 years of relevant professional experience in Data Engineering, preferably working with cloud-based data platforms and production data pipelines
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
Climate change is rapidly delivering new challenges to the agriculture industry. Farmers are facing increasing volatility in the climate, leading to unpredictable weather patterns, making growing conditions challenging.
Semios is addressing this issue with its ‘Farming-as-a-service’ platform. Having been one of the first major players in the space, Semios’s service is set apart by its integrated end-to-end solution that addresses the gamut of farmers’ crop production requirements.
In that same vein, the successful startup is continually expanding and refining its product portfolio with acquisitions and new integrations of 3rd party agricultural solutions into its crop management platform. Building on its current success, the company can only look forward to impressive growth as farmers increasingly view their devices as mission-critical to satisfactory yields.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-13% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Sep 2021
$100m
LATE VC
Feb 2020
$75m
LATE VC
Total funding: $212.3m
Company benefits
- Sleep better knowing you're making the world a better place through more sustainable food production
- Opportunity to contribute and make an impact by working on meaningful projects
- Work with a team that values fun, laughter, and each other in collaborative and casual work environment
- Multiple office locations, convenient via transit and bike paths
- Flexible hybrid working environment and hours
Company HQ
Mount Pleasant, Vancouver, BC
Leadership
Dr. Michael Gilbert
(Founder & Director of the Board)Michael is a natural product synthetic chemist with a PhD from University of British Columbia and a post-doctoral fellowship at the University of Vienna. They have 25 years of experience in agtech and biotech R&D and production.
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