Data Engineer – Metering

Datadog

About Datadog:

We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams.  We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

 

The team:

The Revenue Data Engineering Teams create the data processing pipelines that measure our customers’ usage across all Datadog products, providing vital insights to a broad variety of users and internal stakeholders. This group of teams is at the leading edge of any new product we release.

 

The opportunity:

As a Data Engineer on the Metering Platform team, you will work with Spark and big data tooling to build highly reliable, verifiably-accurate data processing pipelines for a large scale mission-critical process. This team ingests the full firehose of data we receive each day – literally trillions of data points and petabytes of data.

 

You will:

  • Build distributed, high-volume data pipelines that power this core platform

  • Use Spark, Luigi and other open-source technologies

  • Work across the stack, moving fluidly between programming languages: Scala, Python and more

  • Join a tightly knit team solving hard problems the right way

  • Own meaningful parts of our processing infrastructure, have an impact, grow with the company

 

 You are:

  • An engineer with a BS/MS/PhD in a scientific field or have equivalent experience

  • Experienced in building and operating data pipelines for real customers in production systems

  • Fluent in several programming languages (JVM & otherwise)

  • Skilled in wrangling huge amounts of data and enjoy exploring new data sets

  • Someone who values code simplicity and performance

  • Interested in working in a fast-paced, high growth startup environment that respects its engineers and customers

 

Bonus points:

  • You are deeply familiar with Spark, Hadoop and similar frameworks

  • In addition to data pipelines, you’re also familiar with Kubernetes and cloud technology

  • You’ve built your own data pipelines or data intensive applications from scratch, know what goes wrong, and have ideas for how to fix it

#LI-XL1

 


Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

 

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.