People Data Labs
API • B2B • SaaS
People Data Labs is a data infrastructure company that provides large-scale person and company datasets via developer-friendly APIs and data enrichment services. Their platform offers identity resolution, contact and firmographic enrichment, and data delivery tools used by sales, marketing, recruiting, and risk teams. They sell primarily to businesses through a SaaS/API model and emphasize data quality, coverage, and privacy/compliance capabilities.
Senior Software Engineer, Data Acquisition
November 25
People Data Labs
API • B2B • SaaS
People Data Labs is a data infrastructure company that provides large-scale person and company datasets via developer-friendly APIs and data enrichment services. Their platform offers identity resolution, contact and firmographic enrichment, and data delivery tools used by sales, marketing, recruiting, and risk teams. They sell primarily to businesses through a SaaS/API model and emphasize data quality, coverage, and privacy/compliance capabilities.
📋 Description
• Contribute to the architecture and improvement of our data acquisition and processing platform • Use and develop web crawling technologies to capture and catalog data on the internet • Build, operate, and evolve large-scale distributed systems • Design and develop backend services that manage distributed job orchestration • Structure and model captured data, ensuring high quality and consistency • Continuously improve the speed, scalability, and fault-tolerance of our ingestion systems • Partner with data product and engineering teams to design and implement new data products • Learn and apply domain-specific knowledge in web crawling and data acquisition
🎯 Requirements
• 7+ years of professional experience building or operating backend or infrastructure systems at scale • Solid programming experience in Python, Go, Rust, or similar • Strong grasp of software architecture and backend fundamentals • Solid understanding of browser rendering pipeline, web application architecture • Familiarity with network architecture and debugging • Solid understanding of distributed systems concepts • Experience designing or maintaining resilient data ingestion, API integration, or ETL systems • Proficiency with Linux / Unix command-line tools • Familiarity with message queues, orchestration, and distributed task systems • Experience evaluating and monitoring data quality
🏖️ Benefits
• Stock • Competitive Salaries • Unlimited paid time off • Medical, dental, & vision insurance • Health, fitness, and office stipends • The permanent ability to work wherever and however you want
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