Senior Data Engineer - Revenue Data Platform
Datadog · Boston, Massachusetts, USA; New York, New York, USA
Posted about 2 months 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
- 64 days Datadog's roles stay open a median of 83 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
- high 455 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
- 2026-10-25
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.
- 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 2026-10-25. PitchMeAI is not the employer.
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