Location:
NYC, San Francisco, or Denver (4 days/week onsite)
Compensation:
$150-170K base
Client:
Fastgrowing healthcare insurance startup (datadriven tech company at its core)
About the Role
Our client is a rapidly scaling healthcare insurance startup where data is the backbone of the business. The data team is lean - three people supporting 70+ engineers - and they're looking for a handson Data Modeling & Pipeline Engineer to build the foundational data layer powering customerfacing reporting today and ML/AI products tomorrow.
You'll take messy, complex production data and turn it into reliable, scalable models and pipelines. This role is ideal for someone who thrives in ambiguity, moves at startup speed, and can point to measurable impact in past roles.
What You'll Own
Build and mature the company's core data models and pipelines
Clean up and scale existing data infrastructure to support enterprise customer integrations
Partner with product and operations to understand data needs and deliver accurate, trusted outputs
Work directly with engineers to interpret complex production data and maintain accurate Metabase dashboards
Improve data quality, governance, and reliability to enable future ML/AI products
Ensure data models and pipelines are robust, scalable, and productionready
MustHaves (Dealbreakers)
Experience building data models and pipelines at a
VCbacked startup
or a
modern tech company founded after 2005
(e.g., Stripe, Uber, Lyft, Datadog -
FAANG does not count )
Advanced SQL in complex, highvolume production environments
Willingness to work
onsite 4 days/week
in
Denver, SF, or NYC
Baseline Qualifications
3-7 years in analytics or data science at a highgrowth company
Bachelor's degree in CS, Math, Engineering, or a hard science
Handson experience with
Snowflake, BigQuery, or Redshift
Ability to clearly articulate business impact with quantified outcomes
NicetoHaves
Experience partnering with product and operations teams
Background in regulated industries (fintech, insurance, logistics, shipping)
Handson
dbt
experience for production data modeling
Familiarity with
GCP/BigQuery ,
Python , or
Terraform
Anna Karoutsos
Talent Sourcing Partner