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
Scope and breakdown projects, communicate and collaborate progress and blockers effectively with your manager, team, and stakeholders If all of that sounds good to you, we can’t wait to hear from you and build something amazing together! Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 3-5+ years of industry experience with clear examples of strategic technical problem-solving and implementation
- Strong software development fundamentals
- Experience with Python
- Expertise with Apache Spark (Java, Scala, and/or Python-based)
- Experience with SQL
- Experience building scalable data processing systems (e.g., cleaning, transformation) from the ground up
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 Team is the secret sauce behind all that we do and we are looking for the best of the best.
If you are looking to be part of a team discovering the next frontier of data-as-a-service (DaaS) with a high level of autonomy and opportunity for...
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