Software Engineer, Data Acquisition

Nascent Markets

. Build and maintain production-grade web scraping systems, primarily in Rust .

Posted 9/19/2026full-timeRemote • Canada, United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining production-grade web scraping systems, with a strong foundation in systems and backend engineering. Proficient in networking fundamentals and experienced in operating heterogeneous distributed infrastructure across various cloud providers.

Highest-signal resume keywords

Web Scraping Systems DevelopmentNetworking Fundamentals: TCP/IP, DNS, HTTPDistributed Infrastructure ManagementLog Analysis and MonitoringAgentic Workflows Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

RustGoPythonC++JavaWeb ScrapingData AcquisitionProxy ManagementLoad BalancingConnection Pooling

Tools & Technologies

AWSGCPDigitalOcean

Industry Keywords

Anti-Bot TechniquesTelemetryNetwork Traffic InspectionReal-Time SystemsLatency-Sensitive Systems

Tech Stack

Tools & technologies

AWSCloudDNSGoogle Cloud PlatformJavaJavaScriptPythonRustTCP/IPC++Go

About the role

Key responsibilities & impact

Build and maintain production-grade web scraping systems, primarily in Rust
Operate and monitor heterogeneous distributed infrastructure spanning multiple cloud providers, bare metal, and mixed operating systems
Diagnose production issues from raw logs and telemetry
Design and implement proxy management, rotation strategies, and network-layer evasion techniques
Develop fleet health monitoring, automated alerting, and self-healing infrastructure
Collaborate with analysts and researchers on data requirements, source integrations, data quality, and freshness
Reverse-engineer web applications and APIs by inspecting network traffic, deobfuscating JavaScript, and adapting to target-site changes
Improve system reliability, throughput, and maintainability through refactoring, optimization, and automation
Deploy and maintain agentic workflows for data source discovery, onboarding, and troubleshooting

Requirements

What you’ll need

2–5 years of professional software engineering experience with strong systems or backend fundamentals
Proficiency in at least one major programming language (Go, Python, C++, Java, or similar)
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
Familiarity with anti-bot/anti-automation countermeasures and evasion techniques
Experience operating heterogeneous distributed infrastructure across mixed OS, hardware, and hosting providers
Strong log analysis and monitoring skills
Hands-on experience building or operating agentic workflows using LLM-based agents
Strong networking intuition, including TCP connections, DNS resolution, HTTP headers, and proxy chains
Experience with Rust is a strong plus but not a prerequisite
Proficiency in Python is nice to have
Experience with AWS, GCP, or DigitalOcean is nice to have
Background in high-throughput HTTP, proxy management, VPN/routing optimization, and connection pooling is nice to have
Exposure to real-time or latency-sensitive systems is a plus

Benefits

Comp & perks

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
Flexible work hours and location
16 weeks fully-paid parental leave + supported return to work
Retirement matching