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Data Engineer - Revenue Platforms
Datadog
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Remote Eligibility
Hybrid
Domain
Architecture & design
State
New York
City
New York City
Job Description
Posted on:
February 10, 2025
Primary NIST Speciality
Securely Provision
NIST Sub-speciality
Software Development
Seniority
Experienced
Salary ($K)
-
Summary and company overview
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.
Data Engineer - Revenue Platforms
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. As a Data Engineer 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. Each day we’re processing trillions of data points and petabytes of data to enable critical decision making processes for Datadog and our users.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
Responsibilities
- Build sophisticated high-volume data pipelines that power the Revenue Platforms
- 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
- Join the Data Engineering community at Datadog and help create and set standards and systems that allow sustainable and organic growth
- Own meaningful parts of our processing infrastructure, have an impact, grow with the company
Job Requirements
Required Qualifications:
- You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional 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 environment that respects its engineers and customers
Additional commentary
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Competitive global benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Summary and company overview
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.
Data Engineer - Revenue Platforms
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. As a Data Engineer 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. Each day we’re processing trillions of data points and petabytes of data to enable critical decision making processes for Datadog and our users.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
About
Datadog
Company Size
Large (5K-20K)
Employer type
Enterprise
Company Rating (Glassdoor)
4.0
View Glassdoor
