2 hours ago
Base Salary
$192k - $240k/yr
Responsibilities
- Design and build high-throughput data pipelines for billing and cost attribution.
- Drive latency reduction, Spark optimization, sharding, and cross-datacenter reliability improvements.
- Own root-cause investigations into billing accuracy issues with Finance and Product teams.
- Contribute to new billing features and platform improvements.
- Operate production data systems, participate in an on-call rotation, and maintain high reliability standards.
- Contribute to engineering standards and help develop the team’s technical culture.
Requirements
- Significant experience building and operating production data pipelines at scale using Spark and Airflow.
- Ability to own complex cross-functional investigations and drive them to resolution.
- Ability to balance feature delivery with platform health and technical debt.
- Strong analytical judgment and rigor around data-system correctness.
- Ability to work in ambiguous environments and align stakeholder teams.
- Commitment to code quality, maintainability, and operational excellence.
- Experience with Apache Iceberg or lakehouse architectures is preferred.
- Experience with billing, metering, or financial data systems is preferred.
- Experience with low-latency data serving or real-time aggregation pipelines is preferred.
- Candidates must be eligible for any required US government export-control authorizations.
Benefits
- Hybrid work arrangement.
- Competitive salary and equity package, with variable compensation potentially included.
- Healthcare, dental, parental planning, and mental health benefits.
- 401(k) plan and company match.
- Paid time off.
- Fitness reimbursements.
- Discounted employee stock purchase plan.
Tech Stack
Categories
Data Engineering
About Datadog
Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.