About the role
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.
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How they work
- #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation.
Eligibility
You Will: Design and build high-throughput data pipelines for billing and cost attribution Drive platform improvements — latency reduction, Spark optimization, sharding, and cross-datacenter reliability Own root-cause investigations on billing accuracy issues in collaboration with Finance and Product teams Contribute to new billing features Work across Python and Scala, with technologies including Spark, Airflow, Trino, and Apache Iceberg Participate in on-call rotation and maintain a high reliability bar for production systems Contribute to engineering standards and help grow the technical culture of the team You Are: You have significant experience building and operating production data pipelines at scale using Spark and Airflow You are comfortable owning complex, cross-functional investigations and driving them to resolution You understand how to balance feature delivery with platform health and technical debt You have strong analytical instincts and are rigorous about correctness in data systems You work well in ambiguous environments and can drive alignment across stakeholder teams You care about code quality, maintainability, and operational excellence Bonus Points: Have expe
How to apply
- Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
About Datadog
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