AI Data Engineer/Data Scientist — Snowflake / Dataiku

Position: AI Data Engineer/Data Scientist — Snowflake / Dataiku

Location: Princeton, NJ ideally 1-3 days a week in office ( Remote might be considered)

Duration: 6+Months Contract

Must Have: Snowflake + SnowPark or PySpark + SQL + experience with any ML capabilities

Job Description:

• Data Engineering work to support 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.

Requirement:

• 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.