About this role

Role: AI Data Engineer/Data Scientist - Snowflake / Dataiku

Location: Princeton, NJ (Ideally 1-3 days a week in the office)

Job Type: W2 Contract

Must have: Snowflake + Snowpark or PySpark + SQL + experience with any ML capabilities

Job Description:

Data Engineering work to support the design of USO Patient Journey Optimization and Pre-Call Intelligence Data products

Main platforms: Snowflake (data storage, transformation, analytical data products, feature datasets),
Dataiku (analytical workflows, scoring, orchestration, deployment, monitoring), Power BI or other approved BI tooling for reporting.

Key Responsibilities:

Consume the USO star-schema tables in Snowflake
Write/optimize SQL in Snowflake to query and shape data for feature engineering
Build and maintain feature datasets/views in Snowflake that feed Dataiku
Check the Feature Store for existing features before building new ones in Dataiku
Create and maintain features in Dataiku for consumption by the Data Science team's ML models
Design, build, and validate ML models for Patient Journey Optimization and Pre-Call Intelligence use cases
Support analytical data products and BI dataset needs from Snowflake

Requirements:

Hands-on Snowflake, SQL, Python, Dataiku
Experience with production data pipelines, data modeling, testing, monitoring, CI/CD
AWS data services experience (Lambda, S3, Glue, Step Functions) - useful for occasionally reading/debugging upstream CDW pipelines, but not core to this role
Comfortable in governed enterprise environments
Preferred: healthcare, claims, HCP, patient-support, or Veeva data experience

AI Data Engineer/Data Scientist (with Snowflake / Dataiku) - Only W2

Key skills