Senior Data Engineer, Revenue Data Platform

Datadog

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $192,000–$240,000 / yr
Posted: 22 days ago
Freshness: Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k

This role $216k

$125k most similar roles pay here $252k

This role pays more than 79% of similar roles. Most pay $137,600–$211,900 — the shaded band above. At the midpoint, this role pays about $216k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 266 open roles on FindRole.

Listed pay typically runs $161,000–$205,000 across 138 roles with salary data.

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View all roles at Datadog

At a glance

TL;DR · Senior Data Engineer, Revenue Data Platform

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Senior Data Engineer - Revenue Data Platform As a Senior Data Engineer - Revenue Data Platform, you will join the Revenue Data Processing team to build and operate data pipelines that power billing and cost attribution for all products. You will be responsible for designing high-throughput pipelines, driving architectural improvements such as Spark optimization and latency reduction, and conducting root-cause investigations into billing accuracy issues with Finance and Product teams. The role involves developing new billing features while maintaining a high reliability bar for production systems. You will work extensively with Python, Scala, Spark, Airflow, Trino, and Apache Iceberg. This position focuses on the critical domain of processing terabytes of data daily to ensure accurate usage quantification and financial reporting across the product suite, requiring a balance between feature delivery and managing technical debt in a high-scale environment.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

Skills

Spark Airflow Python Scala Trino Apache Iceberg Data Pipelines Lakehouse Architecture Real-time Aggregation Sharding

What you'll do

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.
Lead root-cause investigations on billing accuracy issues in collaboration with Finance and Product teams.
Develop and implement new features for the billing system.
Develop production data pipelines using Python, Scala, Spark, Airflow, Trino, and Apache Iceberg.
Participate in an on-call rotation to maintain high reliability for production systems.
Contribute to engineering standards and technical culture growth within the team.

What we're looking for

Significant experience building and operating production data pipelines at scale using Spark and Airflow.
Proficiency in Python and Scala for developing high-throughput data pipelines.
Ability to manage complex, cross-functional investigations and drive them to resolution.
Strong analytical instincts with a focus on correctness in data systems.
Experience with Apache Iceberg or Lakehouse architectures (preferred).
Experience with billing, metering, or financial data systems (preferred).
Experience with low-latency data serving or real-time aggregation pipelines (preferred).

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