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Added 9 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Senior Data Engineer: Senior Data Engineer – Zonda – Toronto, ON
Added 9 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Senior Data Engineer: Senior Data Engineer – Zonda – Toronto, ON
Added 9 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Senior Data Quality Engineer: Senior Data Quality Engineer – Zonda – Toronto, ON
Added 9 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON
Added 8 days ago
Cloud, Automation & AI Engineer - Senior Consultant
Deloitte
Toronto, ON
Full-time
As a Cloud, Automation & AI Infrastructure Engineer, Senior Consultant, you will play a key role in designing, implementing, and modernizing cloud and AI-enabled technology platforms that…
Added 8 days ago
Project Estimation Manager [On-Site, Hybrid or Remote] - Gestionnaire Estimation des Projets [Sur Place, Hybride ou Télétravail] | - FR
EDF power solutions North America
Montreal, QC
Full-time
…coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a strong foundation…
Added 26 days ago
Data Engineer (Intermediate - Senior)
KF Aerospace
Kelowna, BC
$73,000 to $114,000 CAD / year
Full-time
KF Aerospace is seeking a Data Engineer to support the design, development, and modernization of our enterprise data platform. This role will help drive the implementation of scalable data…
Added 8 days ago
Engineering Manager, Forward Deployed Engineering (LLM)
Baseten
Toronto, ON
$260,000 to $380,000 USD / year
Full-time
Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end…
Added 8 days ago
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 8 days ago
Data & Integration Developer
AtkinsRéalis
Mississauga, ON
Full-time
…data, and make trusted information available for reporting, analytics, automation and AI…
Added 8 days ago
Data & Integration Developer
AtkinsRéalis
Mississauga, ON
Full-time
…data, and make trusted information available for reporting, analytics, automation and AI…
Added 9 days ago
Senior Software Engineer, DevOps & Security
Klue
Remote, Canada
$140,000 to $230,000 CAD / year
Full-time · Remote
…shared infrastructure, CI/CD, and guardrails are solid, every engineer at Klue gets faster, safer, and more cost effective to support, without having to think about…
Added 9 days ago
Software Engineer, Data Acquisition
Nascent
Remote, Canada
Full-time · Remote
Reverse-engineer web applications and APIs - inspecting network traffic, deobfuscating JavaScript, and adapting to adversarial changes in target sites.
Added 8 days ago
Gestionnaire de Projet II - Project Manager II
Jubilant Pharma Limited
Montreal, QC
Full-time
Added 8 days ago
Lead Validation Engineer - Data Center GPU
Advanced Micro Devices, Inc
Markham, ON
Full-time
As an Lead Domain Validation Engineer in the Data Center and GPU Accelerated Processing Division, you will drive IP domain and power-management validation for AMD Data Center GPU products…
Added 8 days ago
Test Engineer - Data
The Citco Group Limited
Toronto, ON
Full-time
…world's largest institutional clients. We are seeking a Test Engineer specializing in Data and data platforms (Databricks) to ensure the quality and reliability of our data…
Added 8 days ago
Concepteur mécanique / Mechanical Engineer
Malvern Panalytical
Quebec, QC
Full-time
…companies, academic institutions, and government laboratories in the analytics of advanced…
Added 9 days ago
Reliability Engineer
Finning
Elkford, BC
Full-time
The Site Reliability Engineer for Finning Canada will be based at selected site and be responsible for providing technical support and data analysis on mining equipment of Finning to assist…
Added 9 days ago
Senior Software Engineer
Magical
Remote, Canada
Full-time · Remote
As a Senior Engineer at Magical, you'll build and own the systems powering our AI agents. You'll set technical direction for projects, drive delivery, enhance your team’s effectiveness, and…
Added 9 days ago
Data Engineer
Loopio Inc.
Remote, Canada
$103,500 to $140,000 CAD / year
Full-time · Remote
We are looking for an experienced Data Engineer to build and support the delivery of data pipelines, used for analytics both internally by Loopio’s teams, embedded within the Loopio…
Added 8 days ago
Applied AI Engineer
Hygiena
Mississauga, ON
Full-time
With rapid growth comes opportunity. We are looking for an Applied AI Engineer (LLM Applications Engineer) to join our team onsite in our Mississauga, Ontario Canada office! This is a…
Added 8 days ago
Senior AI Engineer
Apptoza Inc.
Toronto, ON
Contract
We are looking for an experienced and highly motivated Senior AI Engineer to join Canada segment’s Technology Strategy team.
Added 24 days ago
Senior / Staff Software Engineer, ML-based Controls
Waabi
Toronto, ON
$241,000 to $320,000 USD / year
Full-time
Added 8 days ago
Machine Learning Engineer
Flair Airlines Ltd.
Toronto, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
Full-time
Join the Digital - Engineering team at Flair as a Machine Learning Engineer, where you will play a key role in designing, building, deploying, and maintaining production machine learning…
Added 9 days ago
Scrum Master
McKesson
Montreal, QC
Full-time

Nascent

Software Engineer, Data Acquisition

Remote, Canada

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 18, 2026

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Original job description

The Opportunity

You'll own the systems that feed Nascent's trading and research operations with the data they need to compete - building and operating the web scraping and data acquisition infrastructure that runs 24/7 across a heterogeneous fleet of machines, providers, and operating systems. This is a roughly 50/50 split between software engineering and operations: half your time you're writing production code (primarily Rust) to build new scrapers, defeat anti-bot countermeasures, and architect resilient pipelines; the other half you're deep in logs, monitoring dashboards, and fleet health - diagnosing failures, tuning proxies, and keeping a distributed system humming across mixed infrastructure.

You'll work closely with analysts and researchers who depend on the data you deliver. The problems are genuinely interesting: every major website is actively trying to stop you, infrastructure spans multiple cloud providers and bare metal, and the surface area of what breaks is enormous. This role is remote-first. Montreal proximity is preferred - the team has a growing analyst presence there and in-person collaboration matters - but it's not a hard requirement. North American or European time zones work best for team overlap.

Responsibilities

Build and maintain production-grade web scraping systems - primarily in Rust - designing scrapers that are resilient to site changes, rate limiting, CAPTCHAs, and evolving anti-bot countermeasures.
Operate and monitor a heterogeneous distributed infrastructure spanning multiple cloud providers, bare metal, and mixed operating systems - you own uptime, not just deployments.
Diagnose production issues from raw logs and telemetry, building observability into every system you ship so problems surface before they cascade.
Design and implement proxy management, rotation strategies, and network-layer evasion techniques to maintain reliable data acquisition at scale.
Develop tooling for fleet health monitoring, automated alerting, and self-healing infrastructure across a diverse set of machines and hosting environments.
Collaborate with analysts and researchers to understand data requirements, prioritize new source integrations, and ensure data quality and freshness meet trading-grade standards.
Reverse-engineer web applications and APIs - inspecting network traffic, deobfuscating JavaScript, and adapting to adversarial changes in target sites.
Continuously improve system reliability, throughput, and maintainability - refactoring scraping pipelines, optimizing connection handling, and reducing operational toil through automation.
Deploy and maintain agentic workflows for data source discovery, onboarding, and troubleshooting - using LLM-based agents to automate the identification of new sources, accelerate integration, and surface and resolve failures in existing pipelines.

About you

You are a builder who also runs what you build - you don't consider a project done when the PR merges; you consider it done when it's been stable in production for weeks.
You have a genuine interest in the cat-and-mouse game of web scraping at scale: anti-bot systems, browser fingerprinting, proxy rotation, and the constant adaptation it requires.
You are comfortable navigating messy, heterogeneous infrastructure - mixed OS environments, multiple hosting providers, hardware you didn't provision - and you make it better over time.
You are energized by operational puzzles: tracing a failure across distributed logs, identifying a subtle network degradation, or figuring out why a scraper that worked yesterday is now blocked.
You write clean, production-grade code and care about systems that run unattended and fail gracefully. You are proficient in at least one major programming language (Go, Python, C++, Java, or similar) - the stack is primarily Rust, and prior Rust experience is a strong plus, but if you haven't written it professionally, you're the kind of engineer who picks up new languages fast and takes ownership of the ramp. Python is useful for scripting, prototyping, and analyst-facing tooling.
You thrive in less-structured environments where you're trusted to prioritize your own work, and you take ownership of outcomes rather than waiting for tickets.
You are fluent with agentic workflows and LLM-based tooling - you know how to design and operate AI agents to discover new data sources, automate onboarding, and triage failures in production pipelines. You don't treat AI as a novelty; you reach for it when it's the right tool and build on top of it.
You have strong networking intuition - you think in terms of TCP connections, DNS resolution, HTTP headers, and proxy chains, not just API calls.

Preferred experience

2–5 years of professional software engineering experience with strong systems or backend fundamentals - production-grade code that runs in anger, not just toy projects or prototypes. Proficiency in at least one major programming language (Go, Python, C++, Java, or similar) is required; Rust experience is a strong plus but not a prerequisite.
Deep understanding of networking fundamentals: TCP/IP, DNS, HTTP internals, CDNs, proxies, load balancing, and queue handling.
Hands-on experience with web scraping or data acquisition at scale, including familiarity with anti-bot/anti-automation countermeasures and evasion techniques.
Demonstrated experience operating heterogeneous distributed infrastructure (mixed OS, hardware, hosting providers) - not just deploying to a single cloud provider.
Strong log analysis and monitoring skills: you can diagnose issues from raw logs and build observability into systems you own.
Hands-on experience building or operating agentic workflows (LLM-based agents, tool-use pipelines) for automation, data extraction, or system orchestration - this is core to how we discover and onboard new data sources.
Nice to have:
Experience with Rust - the stack is primarily Rust, and prior production experience accelerates your ramp significantly.
Proficiency in Python - useful for scripting, prototyping, and interacting with analyst-facing tooling.
Experience with cloud providers (AWS, GCP, DigitalOcean) and managing infrastructure across multiple providers simultaneously.
Background in high-throughput HTTP at scale - proxy management, VPN/routing optimization, and connection pooling.
Exposure to real-time or latency-sensitive systems (HFT-adjacent experience is a plus).

About Nascent

Founded in 2020, Nascent exists to build, expand, and capture opportunity, in open markets and permissionless technologies. Building from a base of permanent capital, we deploy assets across a range of both liquid and long-term strategies that ensure we are among the most active users of the open financial system we are helping to build. We’ve backed 100+ early-stage teams that we believe can change markets and expand what’s possible. At Nascent, we combine that venture + market pedigree with product-grade engineering to turn research into revenue: experiments that ship fast, are evaluated rigorously, and move P&L. We focus on models, low-latency infrastructure, and resilient systems that compound performance over time.

Our Team & Culture

We're an interdisciplinary team of engineers, quants, and operators who treat skill-building like a sport. The culture is competition + curiosity: push to win, share learnings, and iterate publicly through red-teams, internal games, and post-mortems. Autonomy isn't a perk - it's how we ship. Day-to-day you'll be in 2-pizza squads with end-to-end ownership, maker calendars, and a Decision SLA of <24 hours. We prefer guardrails over ceremony and measure success by repeatable edges and measurable outcomes.

Principles

Compete to win
Explore, experiment, play
Always be building
Seek and speak truth
Own your shit.

What We Offer

The opportunity to learn, experiment and build in an entrepreneurial environment
Remote-first, distributed team with frequent in-person sprints and retreats.
Competitive total comp with strong bonus upside tied to performance.
Hardware & home-office stipend, conference and learning budgets.
Comprehensive health benefits (medical/dental/vision), life insurance.
Open vacation policy as well as flexible work hours and location
16 weeks fully-paid parental leave + supported return to work.
Retirement matching, open vacation policy, flexible hours.

We are an equal opportunity employer and welcome diverse perspectives.

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More about this job

Responsibilities

You will build and maintain resilient web scraping infrastructure and data pipelines to support trading and research operations. This involves diagnosing production issues, managing heterogeneous distributed systems, and collaborating with analysts to ensure high-quality data delivery.

Requirements

The role requires 2-5 years of professional software engineering experience with strong backend or systems fundamentals. Proficiency in at least one major programming language is required, with a strong preference for Rust and deep knowledge of networking protocols.

Skills

Rust
Web scraping
Data acquisition
Distributed systems
Networking
Infrastructure as code
Observability
Proxy management
Python
LLM agents
Reverse engineering
API integration
Cloud computing
Linux
Telemetry
Automation

Benefits

Competitive total compensation
Performance bonus
Hardware stipend
Home-office stipend
Conference budget
Learning budget
Health benefits
Life insurance
Open vacation policy
Flexible work hours
Parental leave

Remote locations

Canada
United States

Remote locations (standardized)

Canada
United States

Visa sponsorship

Not detected in the job text

Keywords

Rust
Web Scraping
Data Acquisition
Distributed Systems
Networking
TCP/IP
DNS
HTTP
Proxies
Cloud Providers
AWS
GCP
DigitalOcean
LLM Agents
Automation
Observability
Telemetry
Reverse Engineering
API
Python
Infrastructure
Trading
High-throughput
Latency-sensitive
Monitoring
Fleet Management
Data Engineering
Software Engineering
Backend
Systems Programming

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