Senior Data Engineer

Trella Health is a company dedicated to empowering meaningful change in healthcare through innovative solutions. They are seeking a skilled Senior Data Engineer to design, build, and manage the infrastructure for their healthcare data platform, working with diverse datasets and contributing to analytics and future GenAI use cases.

Responsibilities:

• Design processes to consolidate data from multiple sources into a single source of truth
• Contribute to data governance policies, standards, and procedures to ensure data quality, security, HIPAA and other regulatory compliance
• Identify and optimize performance bottlenecks in ETL/ELT pipelines – ensuring the long-term scalability of pipelines
• Work closely with Data Scientists, Engineers, and business stakeholders to understand requirements and translate them into high-value, technical solutions

Requirements:

• 4+ years of engineering experience
• Python
• Advanced SQL
• Apache Spark and PySpark
• Apache Kafka or other streaming technologies
• Data Modeling & Warehousing Concepts
• OLAP vs OLTP
• Normalized vs Denormalized data, one big table
• SCDs
• Medallion Architecture
• Multi-Tenant Architecture
• Experience working with dbt or SQLMesh
• Experience with at least one major data platform and warehousing tool such as Databricks or Snowflake
• Containerization (Docker)
• Terraform
• Role based access control, audit logging, and data governance
• Knowledge of data security, encryption at rest/in transit, and tokenization
• Prior experience working with PHI/PII and experience working in audited environments
• HIPAA, SOC2, and HITRUST compliance requirements and implementation
• Healthcare interoperability standards (FHIR, HL7)
• EHR operational data and claims data processing experience