/roles — ROLE_470

BI (Analytics) Engineer

Fast-scaling healthcare payments company, essentially a data business, automating insurance claims for provider groups

The role

COMP
$135K - $180K
EQUITY
0.02-0.03%
LOCATION
San Francisco
WORKPLACE
Hybrid
EXPERIENCE
3 - 7 years
VISA
None, Visa transfers, New visa sponsorships
STACK
Python, GCP, Terraform, Snowflake
INDUSTRY
Healthcare, Insurance, B2B, Enterprise

The company

Growth-stage healthcare software company automating the insurance claims and revenue cycle process so medical providers get paid accurately without manual back-office work.

STAGE
scale-up
FUNDING
$220M+ raised
TEAM
150+ people
FOUNDED
2019
BACKING
backed by 8VC, Y Combinator

JD — the work

About the role

Think of the company as a data business that happens to live in healthcare. You would be responsible for the data models and pipelines on a very small but high-leverage data team that supports a much larger engineering organization, building the foundation that customer reporting and upcoming ML and AI features depend on. Expect to take messy, complicated data models and make them reliable and scalable, alongside engineers, product managers, and operations.

What you'll do

  • Grow the company's data modeling discipline and build the core models and pipelines behind customer reporting
  • Tidy and extend the current data stack to handle bigger, more complicated enterprise integrations
  • Partner with product and operations teams to learn what data they need and deliver numbers they can trust
  • Work through complicated production data with engineers and keep Metabase dashboards correct and available
  • Prepare the data for upcoming machine learning features by raising quality, governance, and reliability standards

What they're looking for

  • 4+ years in analytics engineering, BI engineering, or data engineering
  • Hands-on data modeling and pipeline work with Python and a cloud warehouse such as Snowflake
  • Comfortable with ambiguity and able to quantify the impact of your work
  • High-growth startup experience, with a bias for speed and ownership
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