Data Platform Engineer

HeadSpin

United States of America / Remote
  • Job Type: Full-Time
  • Function: Engineering Software
  • Post Date: 05/06/2021
  • Website: headspin.io
  • Company Address: 3200 Ash Street, Palo Alto, CA, 94306

About HeadSpin

HeadSpin is the leading Digital Experience Intelligenceā„¢ solution that utilizes automation, AI, and analytics to unify end-to-end testing, performance optimization, and experience monitoring. HeadSpin empowers development, QA, operations, and product teams to deliver flawless digital experiences across all delivery channels.

Job Description

We are seeking a highly motivated Data Platform Engineer to join our talented team of professionals.

Who We Are

HeadSpin is a startup organization and we are revolutionizing the way developers test, monitor and optimize their applications. The company is building a first-of-its-kind global mobile device cloud platform that allows apps to instantaneously run on real devices across global mobile carrier networks. HeadSpin provides powerful, actionable, data which pinpoint any problems in the app and enable developers to fix these issues before launch. HeadSpin integrates seamlessly with your development workflow and requires no changes to your app. The HeadSpin mobile platform is now in 80 countries and 140 cities worldwide, supporting over 2,000 cellular networks and over 22,000 device SKUs. Using HeadSpin’s service, developers can launch products with the confidence that their applications will work in all of the conditions that their users will experience. HeadSpin is funded by Google Ventures, Nexus Venture Partners, SV Angel, Danhua Capital, Webb Investment Network, Felicis Ventures and Foundation Capital.

About the Role

In this role you will build and deploy platform applications and services that enable a variety of data products across the HeadSpin enterprise. You will be working alongside other platform engineers and data scientists to help the company improve its data products and analytics. Specific responsibilities include, but are not limited to, development of distributed data applications and services, performance and cost optimization, data model and pipeline tooling.

What You'll Do

  • Help build a performant, and highly available data platform and the frameworks to support it.
  • Actively contribute to the adoption and development of data architecture and tooling best practices.
  • Help train and empower sales engineers and other technologists using the data platform to gain real-time insights into customer application performance.
  • Help guide and prioritize development of the tooling to enhance our capabilities.
  • Relentlessly analyze and improve the performance of our systems.

What You Need

  • Bachelor’s Degree in Computer Science, Engineering, or related field.
  • 3+ years’ experience building highly-scalable applications.
  • Strong Python programming skill set.
  • Experience designing, querying, and optimizing SQL data tables.
  • Ability to explain technical concepts in simple terms to business stakeholders.
  • Experience designing and implementing streaming and asynchronous data applications.
  • Experience deploying data pipelines in a production environment.
  • Experience with distributed cloud infrastructure and AWS.
  • A knack for analyzing and improving processes using data.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.