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BI (Analytics) Engineer

Data · Posted 2 months ago

We are looking for a BI/Analytics Engineer with 4+ years of experience to own data modeling and pipelines at a rapidly scaling data company disguised as a healthcare platform. You'll join a lean but high-impact data team (currently just 3 people supporting 70+ engineers) and be responsible for building the foundational...

Way of working
Hybrid
Location
San Francisco, CA, Denver, CO, New York, NY
Pay range
$135,000 to $180,000
Level
Mid
Experience
3 to 7 years
Type
Full time
Visa sponsorship
Not offered for this role
The company
Hospitals and Health Care · 50 to 200 people

Skills that matter here

SQLPythonBigQueryGoogle Cloud PlatformdbtTerraformSnowflake

The full description

We are looking for a BI/Analytics Engineer with 4+ years of experience to own data modeling and pipelines at a rapidly scaling data company disguised as a healthcare platform. You'll join a lean but high-impact data team (currently just 3 people supporting 70+ engineers) and be responsible for building the foundational data layer that powers customer-facing reporting and future ML/AI products. This is a hands-on-deck role where you'll shape messy, complex data models into something reliable and scalable – working closely with product, operations, and engineering teams. The ideal candidate thrives in ambiguity, can quantify their impact, and brings the pace and ownership mindset of a high-growth startup.

What you will be doing

- Owning and maturing the data modeling practice – building critical models and pipelines that power customer-facing reporting and analytics

- Scaling and cleaning up existing data infrastructure to support increasingly large and complex enterprise customer integrations

- Partnering closely with product management and internal operations teams to understand data needs and deliver accurate, trusted outputs

- Deep diving with engineers to understand complex production data and ensuring visualization platforms (Metabase) are accurate and available

- Setting the foundation for future ML and AI products by improving data quality, governance, and pipeline reliability

How hiring runs

  1. 1Intro Screen
  2. 2SQL Screen
  3. 3Virtual Onsite 1
  4. 4Virtual Onsite 2

Interested in this one?

There is no apply button here on purpose. Tell us about yourself, we book a short call, and if this role fits we walk you through the company and ask before anything is sent. Always free for you.

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