Senior Data Engineer - Revenue Data Platform

DataDog
Boston, New York
Workplace: HybridFull timeUSD 192,000 - 240,000 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Analytical instincts","Rigor about correctness","Code quality","Maintainability","Operational excellence","Drive alignment"]

Build and optimize high-throughput billing and cost-attribution data pipelines powering revenue-critical systems. Drive platform improvements such as latency reduction, Spark optimization, sharding, and cross-datacenter reliability while investigating billing accuracy issues with Finance and Product. Develop new billing capabilities, participate in on-call to maintain production reliability, and help raise engineering standards. Work across Python, Scala, Spark, Airflow, Trino, and Apache Iceberg.

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FursaFursa
DataDog
DataDog
1 day ago

Senior Data Engineer - Revenue Data Platform

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Last checked: 5 hours agoStatus: Live

Job Summary

Build and optimize high-throughput billing and cost-attribution data pipelines powering revenue-critical systems. Drive platform improvements such as latency reduction, Spark optimization, sharding, and cross-datacenter reliability while investigating billing accuracy issues with Finance and Product. Develop new billing capabilities, participate in on-call to maintain production reliability, and help raise engineering standards. Work across Python, Scala, Spark, Airflow, Trino, and Apache Iceberg.
Location: Boston, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and build high-throughput billing and cost-attribution data pipelines.
  • •Drive platform improvements including latency reduction, Spark optimization, sharding, and cross-datacenter reliability.
  • •Conduct root-cause investigations on billing accuracy issues with Finance and Product teams.
  • •Contribute to new billing features and capabilities.
  • •Maintain production reliability through on-call and uphold engineering standards and culture.

Pay and Benefits

Salary: USD 192,000 - 240,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalParental Planning401kPaid LeaveGym MembershipEquity

Key Requirements

  • •Significant experience building and operating production data pipelines at scale using Spark and Airflow.
  • •Own complex, cross-functional investigations and drive them to resolution.
  • •Balance feature delivery with platform health and managing technical debt.
  • •Strong analytical instincts with a rigorous focus on correctness in data systems.
  • •Ability to work in ambiguous environments and drive alignment across stakeholder teams.
Experience:BillingMeteringFinancial data systemsLakehouse architecturesLow-latency data servingReal-time aggregation
Skills:Analytical instinctsRigor about correctnessCode qualityMaintainabilityOperational excellenceDrive alignment
Languages:English
Tech Stack:PythonScalaSparkAirflowTrinoApache Iceberg

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn