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Added 9 days ago
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Senior Data Engineer
Extendicare
Markham, ON · Extendicare (Canada) Inc (Steeles Ave.)
- Full-time
Develop and maintain ETL processes using Microsoft SQL Server, SSIS, Python, PowerShell, and Azure technologies.
Added 9 days ago
Lead AI/Data Engineer
Dutch
Vancouver, BC
Strong Python and SQL skills, with experience building reliable, maintainable production systems.
Added 9 days ago
AC
Process Data Engineer (Python / Snowflake)
ALTEN Canada
Toronto, ON
- Full-time
Design, develop and maintain data pipelines in Python
Added 9 days ago
Machine Learning Engineer, Marketing
Bell
Toronto, ON
Proficient in data management and analytical programming languages (Python, SQL, R)
Added 11 days ago
AB
DevOps Automation Engineer (OpenShift / .NET / CI/CD)
Ateko, backed by Bell Canada
Mississauga, ON
- Contract
We are seeking an experienced DevOps Automation Engineer to join a high-performing Agile Scrum team responsible for supporting a large portfolio of enterprise applications. The team is…
Added 11 days ago
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Senior QA Engineer
Luxoft
Toronto, ON
- Contract
SQL proficiency for data validation, test data setup, and backend verification
Added 11 days ago
MC
Technical Lead Data
MMC Corporate
Toronto, ON
- Other
Build with your hands. You write code. You build pipelines. You debug production issues. You're comfortable in SQL, Python, and Spark, and you use them regularly, not as a party trick, but…
Added 11 days ago
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Senior QA Automation Engineer / Lead – eCommerce Payments
Simpliigence
Canada
- Contract
Perform backend validation using SQL to verify transaction data and order processing
Added 11 days ago
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Full Stack Engineer
TEEMA
Toronto, ON
- Contract
This is a true full-stack position requiring strong experience across Java/Spring, React and AWS. You’ll contribute across front-end and back-end development, testing, deployment and…
Added 11 days ago
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Principal AI/Cloud Engineer
nLogic
Cherry Point, AB
- Full-time
Experience with Python, SQL, and associated development tools
Added 11 days ago
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Intermediate AI Engineer
nLogic
Cherry Point, AB
- Full-time
Develop software and data solutions using Python, SQL, and related technologies
Added 11 days ago
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Quality Engineer with Automation
Diligente Technologies
Canada
- Contract
Results-driven Quality Engineer with strong hands-on experience in test automation, quality strategy, and AI-enabled quality engineering practices. Responsible for designing, developing,…
Added 11 days ago
AS
Full Stack Developer
Apex Systems
Toronto, ON
- $55 to $67 USD / hour
- Contract
We are seeking an Expert Full Stack Developer to design, build, and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases, and cloud deployments.…
Added 11 days ago
SE
Senior AI Software Engineer
Stikeman Elliott LLP
Toronto, ON
- Full-time
Expert proficiency in Python, including asynchronous development, testing, and modern web frameworks such as FastAPI; working knowledge of TypeScript, Node.js, and front-end development.
Added 11 days ago
M
Technical Lead Data
Marsh
Toronto, ON
- Full-time
Build with your hands. You write code. You build pipelines. You debug production issues. You're comfortable in SQL, Python, and Spark, and you use them regularly, not as a party trick, but…
Added 11 days ago
IG
Full Stack Developer
Insight Global
Toronto, ON
- $50 to $60 CAD / hour
- Contract
Insight Global is seeking an expert Full Stack Developer to design, build, and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases, and cloud…
Added 11 days ago
Production Support Engineer (Salesforce)
Capgemini
Toronto, ON
…your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible.…
Added 11 days ago
Adobe Engineer
Capgemini
Mississauga, ON · Vancouver, BC
We are seeking a proactive and skilled Adobe Experience Platform (AEP) Customer Data Platform (CDP) Engineer to join our growing team. This hands-on role will be crucial in building,…
Added 11 days ago
Senior Machine Learning Engineer, Benefits Personalization
HelloFresh
Toronto, ON
Solid data engineering experience with the ability to design, implement, and deliver maintainable, high-quality code in Python and SQL
Added 11 days ago
Machine Learning Engineer
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Moncton, NB · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Dartmouth, NS · Calgary, AB · ON · North York - Toronto, ON (Hybr, ON · Edmonton, AB (Hybrid), AB · Hybrid - Canada, ON
Strong programming skills with Python and SQL.
Added 11 days ago
SE
Senior AI Software Enginer
Stikeman Elliott LLP
Toronto, ON
- Full-time
Expert proficiency in Python, including asynchronous development, testing, and modern web frameworks such as FastAPI; working knowledge of TypeScript, Node.js, and front-end development.
Added 11 days ago
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Netezza Engineer
LanceSoft, Inc.
Toronto, ON
- $58 to $62 CAD / hour
- Contract
We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. The ideal candidate will have strong…
Added 11 days ago
MM
Technical Lead Data
Marsh McLennan
Toronto, ON
- Full-time
Build with your hands. You write code. You build pipelines. You debug production issues. You're comfortable in SQL, Python, and Spark, and you use them regularly, not as a party trick, but…
Added 11 days ago
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QA Engineer
Brainyyack
Canada
- Full-time
Ability to write and maintain test scripts using JavaScript, TypeScript, Python, Java, or C#.
Added 11 days ago
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Senior Engineer (Python / AWS / On-Premise)
Caddie
Toronto, ON
- Full-time
Strong Python, including NumPy, and SQL well past CRUD

Caddie

Senior Engineer (Python / AWS / On-Premise)

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Apr 11, 2027
Posting language: English
Posted: Oct 13, 2026

Original job description

ABOUT US

Caddie Intelligence builds software for analytical testing laboratories and other regulated industries.

WHAT WE'RE BUILDING

Something meaningful, in an industry that quietly touches billions of lives and almost nobody thinks about. The work inside it is slow, manual and consequential and the decisions being made every day deserve to be faster, more consistent, and easier to stand behind.

THE ROLE: YOU WILL BUILD IT END TO END

One product, two homes: our cloud, and inside our customers' own buildings. You own everything that runs on a server, wherever that server is.

The engine at scale: containerised Python workers (FastAPI, NumPy, SciPy) that make the same decision on every machine, byte for byte

Instrument files: read the binary files laboratory instruments produce, and write Caddie's decisions back into them so the lab's own software still opens them and does the maths

New test methods: turn a new laboratory test into a working module with the founders, following our written playbook

The cloud: S3, SQS, ECS Fargate, KMS

The on-premise edition: the same engine and the same app running inside a customer's network with no internet. Containers, local Postgres and file storage, signed offline updates, Windows and Linux servers

The record: immutable storage, hash-chained audit events, ten-year retention, in both homes

Multi-tenancy: PostgreSQL row-level security, IAM, SSO

The self-serve layer: schema design, immutable versioning, approval workflows

The plumbing: Terraform or CDK, CI that blocks regressions, monitoring

WHAT YOU'LL NEED

Strong Python, including NumPy, and SQL well past CRUD

You care about exact numbers. You know why the same calculation can give different answers on two machines, and how to stop it

Comfortable taking apart a binary file format nobody documented

AWS deep enough to design it, not follow a tutorial

You have shipped software that runs on someone else's servers, not just your own cloud

You can design one system with two homes, where every cloud piece has a local twin and nobody maintains two codebases

Enough front-end ability to ship a screen yourself when it is faster than asking

You use AI tooling hard, and you are ruthless about reviewing what it writes (Cursor, Claude Code, Codex, etc.)

NICE TO HAVE

Signal processing, chromatography or other scientific data

Regulated software: audit trails, data integrity, validated systems

Docker, air-gapped installs, Windows Server

WHO YOU ARE

Critical thinker who pushes back
proactive, nobody is going to hand you a ticket
wants ownership of the schema, the server and the alarm that wakes you up
fast without being sloppy
ability to handle adversity
someone who has the desire to be great

NOT REQUIRED

A specific number of years. We care whether you can do the work, not how long you have been doing it

Any degree or higher education

WORKING HERE

A direct line to the founders. No waiting a week for a decision
Fast paced environment, team retreats, ability for your voice and ideas to be heard
You see the whole company, not a slice of it: commercial, technical and strategic
Access to the network behind us: investors, operators and advisors who have built and sold companies in this space
You grow as the company grows, and you will be able to point at the parts that are yours

Caddie is backed by ERA, the New York accelerator.

Email: founders@caddieintelligence.com

Apply About employer

More about this job

Responsibilities

Build and maintain a Python-based analytical engine and related application for both AWS cloud and customer-hosted, offline environments, including instrument file processing and laboratory test modules. Own the system end to end, including infrastructure, data integrity and audit records, multi-tenancy, workflows, monitoring, and regression-preventing CI.

Requirements

Requires strong Python, NumPy, advanced SQL, deep AWS expertise, and experience shipping software on customer-owned servers; the role also calls for binary file analysis and ensuring calculations produce consistent results across machines. Candidates should be able to design a single system for cloud and on-premise deployment, contribute to frontend work when needed, and critically review AI-generated code; no specific years of experience or degree is required.

Skills

Python
NumPy
SQL
AWS
Binary File Formats
Deterministic Computing
Docker
PostgreSQL
Terraform
CI/CD
FastAPI
Scientific Data Processing
Audit Trails
Frontend Development
AI Coding Tools

Visa sponsorship

Not detected in the job text

Keywords

Python
AWS
On-Premise Deployment
FastAPI
NumPy
SciPy
Docker
S3
SQS
ECS Fargate
KMS
PostgreSQL
Row-Level Security
IAM
Single Sign-On
Terraform
CDK
CI/CD
Binary File Formats
Instrument Files
Immutable Storage
Hash-Chained Audit Events
Data Integrity
Air-Gapped Installations
Windows Server
Linux
Signal Processing
Chromatography
Regulated Software
AI Coding Tools

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