Senior Software Engineer, Data Acquisition

🔥 2 hours ago

🇺🇸 United States – Remote

💵 $160k - $200k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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People Data Labs

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🔌 API

🤝 B2B

☁️ SaaS

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, increasing reliability, throughput, and observability • Use and develop web crawling technologies to capture and catalog data on the internet • Build, operate, and evolve large-scale distributed systems that collect, process, and deliver data from across the web • Design and develop backend services that manage distributed job orchestration, data pipelines, and large-scale asynchronous workloads • Structure and model captured data, ensuring high quality and consistency across datasets • 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 powered by the data you help collect, and enhance and improve upon existing products • Learn and apply domain-specific knowledge in web crawling and data acquisition, with mentorship from experienced teammates and access to existing systems

🎯 Requirements

• 7+ years of professional experience building or operating backend or infrastructure systems at scale • Solid programming experience in Python, Go, Rust, or similar, including experience with async / await, coroutines, or concurrency frameworks • Strong grasp of software architecture and backend fundamentals; you can reason clearly about concurrency, scalability, and fault tolerance • Solid understanding of browser rendering pipeline, web application architecture (auth, cookies, http request / response) • Familiarity with network architecture and debugging (HTTP, DNS, proxies, packet capture and analysis) • Solid understanding of distributed systems concepts: parallelism, asynchronous programming, backpressure, and message-driven design • Experience designing or maintaining resilient data ingestion, API integration, or ETL systems • Proficiency with Linux / Unix command-line tools and system resource management • Familiarity with message queues, orchestration, and distributed task systems (Kafka, SQS, Airflow, etc.) • Experience evaluating and monitoring data quality, ensuring consistency, completeness, and reliability across releases.

🏖️ 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