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Data Engineer - Metering - job 3 of 5

About the role


What you'll do:


About youAbout 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 designs, builds and runs the data pipelines and helper systems to accurately and timely manner quantify our customers’ usage across all Datadog products. This team is at the leading edge of any new product we release.

 

The opportunity:

As a Data Engineer within the Revenue & Growth group, 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 product
  • 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

 

Requirements:

  • You have a BS/MS/PhD in a scientific field or equivalent experience
  • You have built and operated data pipelines for real customers in production systems
  • You are fluent in several programming languages (JVM & otherwise)
  • You enjoy wrangling huge amounts of data and exploring new data sets
  • You value code simplicity and performance
  • You want to work in a fast, 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

 


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.

Datadog (NYSE: DDOG) is a prominent global SaaS provider that uniquely balances growth and profitability. It offers cloud-scale monitoring and security by combining metrics, traces, and logs within one platform.

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CULTURE VALUES
Customer-Centric
Rapid Growth
Diversity of Opinions
Reward & Recognition
Friends Outside of Work
Inclusive & Diverse
Empathetic
Feedback Forward
Work/Life Harmony
Casual Dress Code
Startup Mindset
Collaboration over Competition
Fast-Paced
Growth & Learning
Open Door Policy
Rise from Within
BENEFITS & PERKS
Maternity Leave
Paternity Leave
Flex-Friendly
Family Coverage (Insurance)
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
401K Matching
Paid Holidays
Paid Sick Days
Paid Time-Off
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
DATE POSTED
January 13, 2022

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