Preferred Qualifications:
· 5+ years in data engineering, software engineering, or related field
· Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling
· Hands-on dbt experience (models, tests, documentation, deployments)
· Experience with orchestration (Dagster or Airflow) and scheduling best practices
· Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred)
· CI/CD for data (Git-based workflows, environments), and basic IaC familiarity
· Data observability and testing (dbt tests, lineage tools)
· Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness)
· Effective communication and collaboration with technical and non-technical stakeholders
· Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories)
· Performance tuning in Snowflake (warehouse sizing, clustering, caching)