Data Engineer

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale.

• 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 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.

• Datadog offers a competitive salary and equity package, and may include variable compensation.
• In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.