Analytics Engineer II - Real-Time Healthcare Analytics

cityblockhealth; United States; On-site; USD 110,000 - 145,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Retirement benefits

Equity program

Paid time off

Job summary

Cityblock Health is seeking a senior analytics engineer to build scalable analytics platforms integrated with healthcare data. You will develop predictive models, optimize pipelines, and enable real-time monitoring while ensuring regulatory compliance.

You will work with cross-functional teams to implement dbt models, SQL transformations, and DAGs (Dagster/Airflow), focusing on HIPAA, data quality, and secure data access.

Qualifications

• 6+ years of analytics engineering or data roles with SQL, dbt, and Python.
• Experience with workflow orchestration in Dagster or Airflow.
• Healthcare data domain knowledge (FHIR/HL7) and HIPAA familiarity.

Responsibilities

• Architect scalable analytics architectures and modular data transformations for standardized clinical and operational datasets.
• Develop and optimize pipelines processing large healthcare datasets (EHR, claims, FHIR, HL7).
• Design real-time alerting and data freshness checks with DAGs (Dagster/Airflow).
• Collaborate with Data Engineering, Governance, and BI to define data contracts and semantic models.
• Ensure HIPAA/HITECH compliance across codebases with masking and access controls.

Skills

SQL

dbt

Python

Dagster

Airflow

Tools

Databricks

Snowflake

AWS EMR/Redshift

BigQuery

Job description

Cityblock Health is seeking a senior analytics engineer to build scalable analytics platforms integrated with healthcare data. You will develop predictive models, optimize pipelines, and enable real-time monitoring while ensuring regulatory compliance.

You will work with cross-functional teams to implement dbt models, SQL transformations, and DAGs (Dagster/Airflow), focusing on HIPAA, data quality, and secure data access.