Senior Data Engineer - Revenue Data Platform

The Revenue Data Engineering Teams design, build, and run data pipelines and helper systems to accurately quantify customer usage across all Datadog products. The Revenue Data Processing team builds and operates billing and cost attribution pipelines, processing terabytes of data daily to power revenue-critical systems.

• Design and build high-throughput data pipelines for billing and cost attribution
• Drive platform improvements including 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

• Significant experience building and operating production data pipelines at scale using Spark and Airflow
• Comfortable owning complex, cross-functional investigations
• Balance feature delivery with platform health and technical debt
• Strong analytical instincts and rigor about correctness in data systems
• Work well in ambiguous environments and drive alignment across stakeholders
• Care about code quality, maintainability, and operational excellence

• Experience with Apache Iceberg or Lakehouse architectures
• Worked on billing, metering, or financial data systems
• Experience with low-latency data serving or real-time aggregation pipelines

The reasonably estimated yearly salary for this role is $192,000—$240,000 USD.

Datadog offers healthcare, dental, parental planning, mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

Apply via the provided link.