Software Engineer, Data Acquisition

Job not on LinkedIn

🔥 15 hours ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nascent Markets

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

💸 Finance

₿ Crypto

Finance • Crypto

Nascent Markets is a trading firm that researches, builds, and operates trading systems across liquid markets. It focuses on market microstructure, low-latency execution, and developing repeatable trading edge, and also engages with open and permissionless technologies (suggesting activity in blockchain/crypto markets). Teams are small, ownership-heavy, and work is directly tied to P&L.

📋 Description

• 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

• 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

• 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