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—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally 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. This group of teams is at the leading edge of any new product we release.
The Opportunity:
The Standalone Metering team is building a streaming system to ingest, process, and store our customers' usage across all Datadog products, providing vital insight to a broad variety of users. This new system will enable both internal and external customers to leverage data in new ways. The technology we’re creating will unlock our next level of scale, positioning our teams to support the next 3-5 years of product expansion and revenue growth.
You Will:
You Are:
Bonus Points:
This is a remote position
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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