elastic Data Analytics Engineer

Posted on March 29th, 2019

At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Beats, and Logstash — we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. We unite Elasticians across 30+ countries (and counting!), 18 time zones, and 30 different languages into one coherent team, while the broader community spans across over 100 countries.

Are looking for an opportunity to be integral in the crafting of a new function and team? Are you passionate about data and excited by how information enables sound decisions? Elastic is seeking a Data Engineer to join the marketing analytics team. This role will help the larger marketing organization make data-driven decisions across all activities.

What You Will Be Doing: 
  • Build and develop new capabilities with Elastic to provide analytical insight and streamlined operations and reporting
  • Lead, maintain, and extend existing Elastic-based analytics tooling ES/Kibana/Logstash 
  • Partner closely with marketing, product, and engineering teams
  • Working with and learning all Elastic products
What You Bring Along:
  • Excellent mathematical capabilities with an educational background in a meaningful discipline such as Mathematics, Physics, Engineering, Computer Science
  • Creative thinking and problem-solving
  • Sharp attention to detail and a knack for ensuring quality
  • Knowledge, interest and a real passion for topics in data visualizations, statistics, machine learning, data analytics
  • 3+ years of industry experience in Javascript and Python
  • Ready to be part of a distributed team; ambitious, can work independently as well as with a tight-knit team and possess interpersonal skills
  • Experience with Elasticsearch
  • Strong preference for open source experience
Bonus Points:
  • Experience with data-driven documents (D3.js) or Vega with Canvas
  • Experience with R and development of Shiny applications
  • Experience with ETL workflows for applications like Salesforce, Google Analytics, and Marketo
How to Apply 
  • We'd love to hear from you and a note introducing yourself and your interest in Elastic.
  • Additionally, write 250 words describing what you think Elastic does.
Additional Information:

We're looking to hire team members invested in realizing the goal of making real-time data exploration easy and available to anyone. As a distributed company, we believe that diversity drives our vibe! Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance phenomenal work with great life.

  • Competitive pay based on the work you do here and not your previous salary
  • Equity
  • Global minimum of 16 weeks in full parental leave (moms & dads)
  • Generous vacation time and one week of volunteer time off
  • Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.

Our search might be focused in certain areas, but we are looking for great talent across the globe/region and we will consider candidates that are not residing in the locations listed below.

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Elastic is an Equal Employment employer committed to the principles of equal employment opportunity and affirmative action for all applicants and employees. Applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. Elastic also makes reasonable accommodations for disabled employees consistent with applicable law.

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