Senior Data Engineer

About:

• Lead the design, development, and scaling of the data warehouse and analytics platform.
• Manage architecture and implementation of isolation model, warehouse pipelines, and provisioning infrastructure.
• Ensure customers have ad-hoc query access to their own data within a shared warehouse.
• Partner with internal teams to build models and dashboards.
• Automate and enforce data quality, scalability, and compliance.

• 6+ years of engineering experience spanning data and infrastructure.
• Proficient in SQL and relational databases, specifically PostgreSQL and Snowflake.
• Experience with database-level access control implementations, such as row-level or column-level security and RBAC.
• Production data pipeline management experience, including CDC failure diagnosis, schema drift, and troubleshooting bad upstream values.
• Fluency in Terraform or similar Infrastructure as Code (IaC) tools.
• Experience collaborating with non-engineering teams on reporting models.
• Automating skills in scripting languages, with Ruby and SQL preferred.
• Construction of reusable, automated tools for business scalability.
• Prioritization of data quality, observability, and compliance in systems.
• Effective communication and collaboration skills across technical and non-technical teams.
• Experience with HIPAA-regulated data preferred.
• Familiarity with dbt, Metabase, Kafka/Debezium, or AWS data infrastructure is a plus.

Pay range: $185K - $215K

Industry-leading EMR, Scheduling, and Client Engagement platform for modern healthcare delivery.