Software Engineer building Rust-based web-scraping and data-acquisition infrastructure for Nascent’s trading and research operations. Operating distributed systems, proxies, observability, and LLM-based automation.
Responsibilities
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
Senior Data Engineer building Dandy’s data infrastructure for its technology - powered dental operating system. Developing pipelines, governed data products, and AI - ready platform capabilities.
Senior Data Engineer supporting the Government of Alberta’s Data Management Platform. Building, monitoring, and modernizing Talend integrations, ETL/ELT pipelines, APIs, and data services.
Data Engineer building cloud data pipelines, models, and analytics infrastructure for Boeing’s aviation programs. Supporting machine learning applications and data governance from Richmond/Vancouver.
Data Engineer building cloud - based data pipelines and analytics infrastructure for Boeing’s aviation programs. Supporting machine learning, data governance, and high - performance systems from Richmond/Vancouver.
Data Engineer building trusted data pipelines for Crux’s clean - energy capital platform. Automating surveys, reporting datasets, and research queries for Market Intelligence.
ETL Data Engineer designing Informatica ETL pipelines and Hadoop workflows. Supporting SQL - driven reconciliation, data quality, BI reporting, and analytics solutions.
Data Engineer building Spark pipelines and analytics data models for Dropbox’s file collaboration platform. Supporting datamarts, KPIs, data quality, and production reliability.
Data systems engineer building Python pipelines and APIs for Northbeam’s marketing intelligence platform. Improving integrations, transformations, monitoring, and real - time data flows.
Staff Software Engineer owning ingestion and integration architecture for Northbeam’s marketing intelligence platform. Setting data - processing standards across ad, commerce, and real - time event systems.