Senior Data Engineer - Revenue Data Platform
Build and operate large-scale revenue data pipelines powering billing and cost attribution, while improving reliability, latency, and correctness. The role requires strong Spark and Airflow experience, cross-functional problem-solving, and operational ownership of mission-critical production systems.
About the job
Responsibilities
- 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.
- Participate in an 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.
Requirements
- Significant experience building and operating production data pipelines at scale using Spark and Airflow.
- Experience owning complex, cross-functional investigations and driving them to resolution.
- Ability to balance feature delivery with platform health and technical debt.
- Strong analytical instincts and rigor around correctness in data systems.
- Ability to work effectively in ambiguous environments and drive alignment across stakeholder teams.
- Commitment to code quality, maintainability, and operational excellence.
Nice-to-haves
- Experience with Apache Iceberg or lakehouse architectures.
- Experience with billing, metering, or financial data systems.
- Experience with low-latency data serving or real-time aggregation pipelines.
Compensation and Benefits
- Estimated yearly salary: $192,000–$240,000 USD.
- Competitive salary and equity package; variable compensation may be included.
- Healthcare, dental, parental planning, and mental health benefits.
- 401(k) plan and match, paid time off, fitness reimbursements, and discounted employee stock purchase plan.
Skills
Python, Scala, Spark, Apache Airflow, Trino, Apache Iceberg, Data Pipelines, Sharding, Lakehouse Architecture, Real-Time Aggregation
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