Data Engineer Snowflake

Role: Data Engineer (Snowflake)

Experience: 5 years of experience in data engineering (slowflake)
Location: Hybrid – Columbia, MD
Contract: 12 months (Contract to Perm – must be open to convert to Full-Time)

Interview Process: Final Interview - Face to Face 

Work Setup:

Hybrid (mostly remote) – expected onsite 1–2 times/month for team sessions, workshops, and planning

Candidates must reside in the DMV area (preferred), WV, or PA for potential conversion to FTE

About the Project:
The team builds claim engines for healthcare claims adjudication. Transactions occur in Oracle, but the data flows through Snowflake. The environment emphasizes strong data operations and system engineering, rather than heavy software development.

Key Responsibilities:

Manage and optimize Snowflake data workflows and environments

Work with JSON data structures and build/maintain data models (dimensional, relational, etc.)

Collaborate with the team on CI/CD automation and Snowflake–Jenkins integration

Participate in release activities (approx. 8 Saturdays per year)

Technical Requirements:

3–5 years in Data Engineering or similar role

Strong expertise in Snowflake (DB user-level SME)

Hands-on with JSON, data modeling, and dimensional models

Familiarity with CI/CD pipelines and Jenkins

Knowledge of data structures and operational system engineering

Preferred Experience:

Background in Healthcare Insurance (highly preferred)

Prior experience with claims, adjudication systems, or healthcare data models