Datadog

Senior Data Engineer - Revenue Data Platform

Datadog · Boston, Massachusetts, USA; New York, New York, USA

Posted 27 days ago · Previously reposted

or apply directly on Datadog's site. We never take the application ourselves.

Is this posting real?

This role has been open
27 days
Datadog's roles stay open a median of 45 days
Reposted
Yes
taken down and listed again at least once
Salary listed
No
0% of Datadog's roles list one
Ghost-job risk at Datadog
low
0 stale, 32 reposted of 455 open
Hiring momentum
589 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Datadog's own greenhouse board since 2026-08-03. Full hiring picture for Datadog.

About this role

As a Senior Data Engineer on the Revenue Data Engineering Team, you will design and build high-throughput data pipelines for billing and cost attribution, driving architectural improvements and contributing to new billing features. You will work with technologies such as Spark, Airflow, and Python/Scala, while collaborating with Finance and Product teams to ensure billing accuracy. Additionally, you will participate in on-call rotations and help maintain the reliability of production systems.

Our read on this posting3.2out of 5
benefits
4/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Datadog as an employer.

What you need

  • 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
  • Understanding of balancing feature delivery with platform health and technical debt
  • Strong analytical instincts and rigor about correctness in data systems
  • Ability to work well in ambiguous environments and drive alignment across stakeholder teams
  • Care for code quality, maintainability, and operational excellence

Nice to have

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

What you get

  • Competitive salary and equity package
  • Variable compensation
  • Healthcare and dental benefits
  • Parental planning and mental health benefits
  • 401(k) plan and match
  • Paid time off

Worth weighing

  • No specific mention of remote work options, but the role is listed as hybrid
  • Salary range provided, but actual compensation may vary based on skills and experience
  • The role involves participation in on-call rotation, which may impact work-life balance

Summarised from Datadog's posting. Read the full original.

Listed by Datadog on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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