
Healthcare Insurance • SaaS • Enterprise
Trella Health is a healthcare data analytics company that provides services to over 30,000 users nationwide, including top home health agencies, hospice providers, and skilled nursing facilities. Their platform integrates market data with a CRM solution to offer insights that improve sales execution and performance visibility in the post-acute care industry. By leveraging EHR and API integrations, Trella Health enables real-time referral tracking and helps healthcare organizations optimize their growth strategies. Their solutions include market insights, customer relationship management, and strategic consulting services, specifically designed for home health, hospice, skilled nursing, and other healthcare markets.
October 22

Healthcare Insurance • SaaS • Enterprise
Trella Health is a healthcare data analytics company that provides services to over 30,000 users nationwide, including top home health agencies, hospice providers, and skilled nursing facilities. Their platform integrates market data with a CRM solution to offer insights that improve sales execution and performance visibility in the post-acute care industry. By leveraging EHR and API integrations, Trella Health enables real-time referral tracking and helps healthcare organizations optimize their growth strategies. Their solutions include market insights, customer relationship management, and strategic consulting services, specifically designed for home health, hospice, skilled nursing, and other healthcare markets.
• Design, implement, and maintain data models, pipelines, and architecture to support current and future product needs – focusing on healthcare datasets such as claims, EHR, BCDA, and CCLF. • 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.
• 8+ years of engineering experience • Minimum of 3+ years demonstrated technical leadership • 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 • 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 • 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
• Health, Dental, Vision & Voluntary Benefits • Competitive Salary & Bonus Plans • 401k Retirement Savings • Flexible PTO & 10 Paid Holidays • Flexible Work Hours • Equity Shares • Paid Leave Programs • Marketplace for discounted retail and entertainment
Apply NowOctober 22
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