Find work in Canada.

332,657 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 43 mins ago
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
Full-time · Remote
We are hiring a Software Engineer to build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will work across our inference…
Added 43 mins ago
Software Dev Engineer II, Vendor Funding
Amazon
Vancouver, BC
Added 1 hour ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
…helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model…
Added 2 hours ago
Sr Optical Firmware Integration Engineer
Nokia
Ottawa, ON
Full-time
Added 2 hours ago
Machine Learning Engineer
Copoly.ai
Canada
$90,000 to $115,000 CAD / year
Full-time
Added 2 hours ago
Sr. Embedded DSP Engineer
ESS Technology, Inc.
Kelowna, BC
Full-time
We are seeking a senior embedded engineer to join our firmware and DSP team development with experience with Cortex based products and advanced audio processors.
Added 3 hours ago
Senior Data Engineer - Data Infra (Canada)
Dandy
Remote, Canada
$133,600 to $167,000 USD / year
Full-time · Remote
Dandy is hiring a hands-on Senior Data Engineer to join our rapidly growing venture-backed company. The Data Infrastructure team owns the data platform - ingestion, pipelines, and the…
Added 4 hours ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 4 hours ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 4 hours ago
Observability Engineer
J&M Group
Toronto, ON
Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.
Added 8 hours ago
IoT Systems Engineer
Invision AI
Remote, Canada
Full-time · Remote
We are looking for a motivated and talented IoT Systems Engineer to join our Toronto team and help us take our products to the next level in connectivity, reliability, and customer delivery.
Added 8 hours ago
Technology Lead
Infosys
ON
…and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a…
Added 8 hours ago
IoT Systems Engineer
Invision AI
Toronto, ON
Full-time
We are looking for a motivated and talented IoT Systems Engineer to join our Toronto team and help us take our products to the next level in connectivity, reliability, and customer delivery.
Added 11 hours ago
Manager, Software Engineering
AltaML
Toronto, ON
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 12 hours ago
Software Engineer 3 - 2-6years of experience.
Nutanix
Vancouver, BC
$103,000 to $155,000 CAD / year
Full-time
Added 12 hours ago
LLM Engineer
Qualcomm
Markham, ON
Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 15 hours ago
Développeur expert IA
CGI
Montreal, QC
Full-time
Certification AI/ML sur une plateforme Cloud : Azure AI Engineer, AWS Machine Learning ou GCP Professional Machine Learning Engineer.
Added 15 hours ago
AI Engineer
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking an experienced AI Engineer with 7+ years of experience in software and AI engineering to design, develop, and deploy AI/ML solutions. The ideal candidate will have strong…
Added 15 hours ago
AI Engineer
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking an experienced AI Engineer with 7+ years of experience in software and AI engineering to design, develop, and deploy AI/ML solutions. The ideal candidate will have strong…
Added 16 hours ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
Added 16 hours ago
AI Computer Vision Engineer
AssistIQ
Remote, Canada
Full-time · Remote
As a Computer Vision/AI Engineer, you will be responsible for designing and developing reliable, maintainable, and scalable CV systems. In this role, you’ll apply computer vision and…
Added 17 hours ago
Platform Engineer - Kubernetes, GitOps, Flux CD & AI/ML Infrastructure
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
We're seeking a skilled Platform Engineer to deploy and manage AI/ML infrastructure, e.g. LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 17 hours ago
Senior Software Engineer, Machine Learning
Chorus AI
Toronto, ON
$150,000 to $170,000 CAD / year
Full-time
Reports to: Technical CEO, working directly with our Founding Engineer and Founding Data Scientist
Added 19 hours ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital…
Added 19 hours ago
Java Software Engineer
Wissen Technology
Montreal, QC
Full-time

Precision AI

Senior Data Engineer

Calgary, AB, Canada

Job type: Full-time
Posting language: English
Posted: Sep 22, 2026

Apply About employer

Applications open in a new tab.

Original job description

Role Overview

This is Precision AI's first dedicated data engineering role. Our AI team trains computer vision models on several hundred terabytes of drone imagery and flight telemetry collected across real growing seasons. That archive lives in S3 as Parquet and imagery, queried with Athena. Every training run depends on tribal knowledge about which prefixes hold which season.

You will build the platform that fixes this. You own how field data gets from the aircraft into a governed, queryable, reproducible asset that our ML engineers can pull training sets from with confidence, and that the business can eventually report on.

This is a hands-on senior individual contributor role reporting to the AI Team Lead. You will not manage people. You will set the technical direction for data at Precision AI and be measured on whether the AI team can move faster because of it.

This hybrid role is based in Calgary and will work from Precision AI’s headquarters 3 days a week.

Key Responsibilities

Data Platform Architecture

Design the lakehouse layer over our existing S3 and Parquet footprint, including table format selection (Iceberg or Delta), partitioning strategy, schema evolution, and a searchable catalogue.
Decide what stays as raw imagery and what becomes a managed table, and document why.

Pipeline Engineering and Orchestration

Stand up orchestration from scratch.
Evaluate and select the tooling (Airflow, Dagster, Prefect, or equivalent), then build batch pipelines that are idempotent, backfillable, and observable.

Field-to-Cloud Ingestion

Build reliable ingestion for drone imagery and telemetry captured in the field, often over poor connectivity.
Handle validation, deduplication, and integrity checks close to capture.

ML Data Enablement

Work directly with AI engineers to turn raw captures into curated, versioned training and evaluation datasets.
Own dataset lineage and versioning so that any model in MLflow can be traced back to the exact data that produced it, two years later. Support annotation workflows and our vector database.

Data Quality and Reliability

Define data contracts, automated tests, and freshness and anomaly monitoring.
Own lineage from raw capture through to the datasets and features that models consume. Establish the data quality standards the team codes against.

Cost and Performance Management

Own S3 storage class lifecycle, file compaction, and Athena scan cost.
At our scale, storage and query layout decisions are the primary cost lever, and we expect you to treat that as an engineering problem rather than a finance one.

Analytics Enablement

As the platform matures, extend it to serve business and product analytics: a modelled warehouse layer, transformation tooling such as dbt, and a semantic layer for reporting.
This is a later phase of the role, not a day-one responsibility, and you will help decide when it becomes the priority.

Engineering Practice

Write production-grade Python.
Use infrastructure as code, containerization, CI/CD, and version control as defaults rather than afterthoughts.
Raise the bar across the AI team through code review and by setting the data engineering standards other engineers build on.

Technical Communication

Communicate design decisions, tradeoffs, and progress clearly to engineers and to non-technical partners.

Relevant Experience

4+ years building and operating production data platforms, with clear ownership of systems you designed rather than only maintained.
Strong Python, with solid software engineering fundamentals: testing, code structure, version control, and code review.
Deep hands-on AWS experience, particularly S3, Athena or equivalent query engines, IAM, and cost management at scale.
Production experience with a workflow orchestrator (Airflow, Dagster, Prefect, Step Functions, or similar).
Advanced SQL and demonstrable data modeling judgment.
Experience with columnar formats and open table formats: Parquet plus Iceberg, Delta, or Hudi.
Track record of designing for reproducibility, including data versioning, lineage, and backfill correctness.
Comfort operating without an existing platform to lean on and the judgment to sequence what gets built first.

Bonus

Geospatial and raster data experience: GeoTIFF, cloud-optimized GeoTIFF, GDAL, tiling, and coordinate reference systems.
Experience supporting computer vision or ML teams, including training dataset curation, annotation pipelines, or feature stores.
Familiarity with MLflow, DVC, LakeFS, or comparable experiment and data versioning tooling.
Distributed processing experience: Spark, Ray, or Dask.
Analytics engineering exposure: dbt, dimensional modelling, BI tooling.
Infrastructure as code: Terraform, CDK, or Pulumi.
Kubernetes.
Agriculture, remote sensing, robotics, or another domain with large sensor-derived datasets.

Education Requirements

Bachelor's or master's degree in computer science, computer engineering, software engineering, and data science.

Apply About employer

More about this job

Responsibilities

You will design and build a scalable data lakehouse platform to manage drone imagery and telemetry for computer vision model training. This involves creating robust ingestion pipelines, ensuring data quality, and enabling efficient dataset versioning for ML engineers.

Requirements

Candidates must have at least 4 years of experience building production data platforms with strong proficiency in Python, AWS, and SQL. Experience with workflow orchestration, columnar data formats, and designing for data reproducibility is essential.

Skills

Python
AWS
S3
Athena
Data Engineering
SQL
Data Modeling
Workflow Orchestration
Airflow
Dagster
Prefect
Parquet
Iceberg
Delta Lake
Data Pipeline
Infrastructure as Code

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
AWS
S3
Athena
Parquet
Iceberg
Delta Lake
Airflow
Dagster
Prefect
Data Lakehouse
MLOps
Computer Vision
Data Lineage
SQL
Infrastructure as Code
CI/CD
Containerization
Telemetry
Geospatial
Raster Data
MLflow
DVC
Spark
Ray
Dask
dbt
Terraform
Kubernetes

Report this job