Analytics Engineer 2

Role overview This role focuses on building enterprise-grade analytics platforms purpose-built for healthcare data, including predictive modeling and real-time monitoring in a regulated environment. It blends modern data engineering with clinical and operational analytics, partnering with data engineering, governance, and BI teams to deliver trustworthy insights that support care delivery and compliance.

Responsibilities - Architect and optimize high-performance analytical data models using dbt Core/Cloud alongside complex SQL transformations that standardize clinical and operational datasets. - Build and tune scalable pipelines for large volumes of structured and unstructured healthcare data (EHR, claims, FHIR, HL7) to reduce compute time and warehouse spend. - Design and operate production-grade DAGs with asset-centric orchestration tooling, implementing freshness checks, anomaly detection, and custom automated alerting. - Partner with data engineering, governance, and BI teams to align ELT integration, define semantic models and metrics, and uphold data contracts. - Enforce HIPAA and HITECH controls across the codebase, including row- and column-level security, dynamic masking for PII/PHI, CI/CD checks, and audit-ready documentation.

Requirements - 6+ years in senior analytics engineering or data roles with mastery in SQL, dbt, Python, and workflow orchestration platforms such as Dagster or Airflow. - Hands-on knowledge of healthcare data frameworks including FHIR, HL7, ICD-10, CPT, and claims feeds. - Experience operating governed analytics pipelines on cloud data platforms like Databricks, Snowflake, AWS EMR/Redshift, or BigQuery. - Practical understanding of PHI protection standards under HIPAA within production environments.

Benefits and work setup Eligible employees receive health insurance, life insurance, retirement benefits, equity participation, and paid time off including vacation and sick leave. The posted salary range is $110,000–$145,000 annually; actual offers depend on qualifications, experience, and location.