Senior Data Engineer

Trella Health is a company committed to empowering meaningful change in healthcare through innovative solutions. They are seeking a Senior Data Engineer to design, build, manage, and operate the infrastructure behind their healthcare data platform, working with diverse datasets and contributing to platform features that support 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