HN Jobs

A searchable index of Hacker News “Who is hiring?” job postings.

← All postings · December 2017 thread

HackerRank

Lead Data Engineer

CompanyHackerRank
RoleLead Data Engineer
Role taxonomyData / AnalyticsLead / Manager
SpecialtiesData Engineering
LocationPalo Alto, CA
Salary
Apply viaApplication linkhttps://boards.greenhouse.io/hackerrank/jobs/947814
Hiring notes
TechPythonML/AI
Parsed locationsPalo Alto, CA
Posted byidlecool
PostedDec 2, 2017
SourceView on Hacker News ↗

Original posting

HackerRank | Lead Data Engineer | Palo Alto, CA | https://boards.greenhouse.io/hackerrank/jobs/947814 HackerRank is a Y Combinator alumnus backed by tier-one Silicon Valley VCs. We are a skills-based hiring platform that helps companies better evaluate technical skills. We’re driving a new paradigm shift by eliminating resumes and creating opportunities for hundreds of thousands of programmers worldwide. We have a community of 3M+ developers and 1000+ customers across industries, and the best part is we are just getting started. Our customers - including VMware, Twitter, CapitalOne, and many other Fortune 100 companies - rely on HackerRank to build strong engineering teams. We've assembled an amazing team that’s passionate about creating more opportunities for people by changing the way companies hire. We are ambitious, data-driven givers, and we love delighting customers. If you're interested in scaling HackerRank by working with some of the largest companies in the world, let’s talk. Our data science team is working on matching every developer to the right job. We believe that resume-based hiring is broken and can lead to biases and the only reasonable way to match developers to the right job is through skills. We have a large dataset of 100M+ code submissions across our user base, and we have built several ML models to predict the job match. We are looking to hire an ambitious Data Engineer to join our agile data team. As part of the Data Science team, you will get an opportunity to work closely with our leadership team. Tech: Hadoop, Spark, Python, Machine Learning, Deep Learning