Coursera Sourcing

Staff Analytics Engineer

Coursera Sourcing · United States

Posted 14 days ago · $167,200 - $209,000

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

Is this posting real?

This role has been open
14 days
Coursera Sourcing's roles stay open a median of 36 days
Reposted
No
Salary listed
Yes
94% of Coursera Sourcing's roles list one
Ghost-job risk at Coursera Sourcing
high
6 stale, 1 reposted of 16 open
Hiring momentum
24 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 Coursera Sourcing's own greenhouse board since 2026-08-03. Full hiring picture for Coursera Sourcing.

About this role

As a Staff Analytics Engineer at Coursera and Udemy, you will architect scalable data models and construct high-quality ELT pipelines that support business-critical applications. Your role involves designing self-serve analytics products, leading data governance initiatives, and collaborating with cross-functional teams to enhance data literacy and drive business outcomes. You will also develop innovative tools and frameworks to improve data accessibility and efficiency.

Our read on this posting4.0out of 5
benefits
2/5
freshness
4/5
career value
4/5
role clarity
5/5
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 Coursera Sourcing as an employer.

What you need

  • 10+ years experience in data/analytics engineering
  • Expertise in data architecture, pipelines, and reporting
  • Expert experience with relational databases and efficient SQL code generation
  • Expert experience with AWS, Databricks, Delta Lake, Airflow, dbt, Redshift, Datahub
  • Expert experience with crafting self-service reporting solutions
  • Strong understanding of root cause analysis

Nice to have

  • Strong experience leading cross-functional RFCs
  • Proven track record building feature stores or data pipelines for LLM fine-tuning
  • Strong track record of leadership and mentorship in a remote environment

What you get

  • Competitive, zone-based pay
  • Comprehensive health and wellness benefits
  • Bonus and RSU equity programs
  • Global perks designed to help you grow and thrive

Worth weighing

  • No specific mention of remote work flexibility
  • Stack includes a mix of modern and established technologies
  • High level of experience required may limit applicant pool

Summarised from Coursera Sourcing's posting. Read the full original.

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

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