Data Engineer, Front-line - Internal Analytics Platform

At Datadog, we’re on a mission to build the best monitoring platform in the world. We operate at high scale—trillions of data points per day—and high availability, providing always-on alerting, visualization, and tracing for our customers' infrastructure and applications around the globe.

We are building a first-class Internal Analytics team composed of Data Engineers and Data Analysts. If you’re excited to work on a fast-moving team with cutting-edge open-source data collection, transformation and analysis tools, we want to meet you.

What you will do

  • Be on the first front-line of any new exploratory data sets our Internal Analytics team will implement
  • Scout this internal data to help Datadog better understand our customers, product usage, and our own operations
  • Gather data from a wide range of sources: AWS S3, Redshift, PostgreSQL, and various APIs
  • Build new data pipelines using Spark, Luigi and other open-source technologies, with programming languages like Scala, Python, and SQL
  • Find meaning in extremely high volume of data and build data visualization for team leads and executives
  • Work closely with product managers, designers, and engineers, understand their problems in order to collect the right data and provide them with the right analytics
  • Have a meaningful impact on many teams at Datadog thanks to data
  • Join a tightly knit team solving hard problems the right way
  • Grow with the company

Who we are looking for

  • You are at the intersection of a Data Engineer and a Data Analyst
  • You are fluent in several programming languages such as Python, R, or Scala and have experience using them to transform data
  • 3+ years of professional experience 
  • You value code simplicity and performance
  • Being a SQL expert is a minimum for this position
  • You are fluent on the command line
  • You have work experience in data analysis and visualization using Looker, Tableau, or a similar tool
  • You enjoy wrangling huge amounts of data and exploring new data sets
  • You can explain complex datasets in very clear ways
  • You have a natural curiosity and investigative mindset - driven to know “why”.
  • You want to work in a fast, high-growth startup environment and thrive on autonomy

Bonus points

  • You are familiar with Spark and/or Hadoop
  • Experience with AWS Redshift, S3, or Google BigQuery/Cloud Dataproc
  • Experience with Looker

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