People Data Labs builds B2B data for developers, engineers, and data scientists. They empower clients to build and scale innovative data-driven products using 3 billion highly accurate B2B records. Backed by Craft Ventures.
About the role
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 Strong grasp of software architecture and backend fundamentals; you can reason clearly about concurrency, scalability, and fault tolerance Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
Note for all engineering roles: with the rise of fake applicants and AI-enabled candidate fraud, we have built in additional measures throughout the process to identify such candidates and remove them.
People Data Labs (PDL) is the provider of people and company data. We do the heavy lifting of data collection and standardization so our customers can focus on building and scaling innovative, compliant data solutions. Our sole focus is on building the best data available by integrating thousands of compliantly sourced datasets into a single, developer-friendly source of truth. Leading companies across the world use PDL’s workforce data to enrich recruiting platforms, power AI models, create custom audiences, and more.
We are looking for individuals who can balance extreme ownership with a “one-team, one-dream” mindset. Our customers are trying to solve complex problems, and we only help them achieve their goals as a team. Our Data Engineering & Acquisition Team ensures our customers have standardized and high quality data to build upon.
You will be crucial in accelerating our efforts to build standalone data products that enable data teams and independent developers to create...
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