Pave

Analytics Engineer

Pave · San Francisco, CA & New York, NY

Posted about 3 months ago · $169,000 - $194,000

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

Is this posting real?

This role has been open
80 days
Pave's roles stay open a median of 79 days
Reposted
No
Salary listed
Yes
72% of Pave's roles list one
Ghost-job risk at Pave
high
17 stale, 1 reposted of 18 open
Hiring momentum
27 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

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

About this role

As an Analytics Engineer at Pave, you will extend and maintain core data models that power compensation intelligence products and design scalable data pipelines. You will also implement monitoring and validation frameworks to ensure data integrity, collaborate with cross-functional teams to translate product needs into actionable insights, and contribute to revenue growth.

Our read on this posting3.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
5/5

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 Pave as an employer.

What you need

  • 4+ years of experience in a Data/Analytics Engineering role, ideally in a product-facing capacity
  • Proficiency with dbt and airflow
  • Familiarity with cloud data warehouses
  • Experience collaborating with data scientists or machine learning engineers
  • Track record of shipping data products or infrastructure that improved business outcomes

What you get

  • Comprehensive medical, dental, and vision coverage for you and your family
  • Flexible PTO and the freedom to work from anywhere in the world for up to a month
  • Lunch and dinner stipends plus fully stocked kitchens
  • Quarterly education stipend
  • Robust parental leave
  • Commuter stipend

Worth weighing

  • No specific mention of technology stack beyond dbt and airflow
  • Role involves significant collaboration with other teams, which may require strong interpersonal skills
  • Hybrid work culture requires in-person attendance 3 to 4 days a week

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

Listed by Pave on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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