Analytics Engineer, Level 2

This is a fully remote position, open to applicants in New Jersey.

📋 Description

• Design, construct, and enhance enterprise-level analytical data models utilizing dbt Core/Cloud and advanced SQL.

• Organize modular data transformations that reveal standardized clinical and operational datasets.

• Create and refine scalable pipelines to handle large volumes of healthcare data, including EHR, Claims, FHIR, and HL7 inputs.

• Minimize compute durations and reduce costs associated with warehouse/lakehouse operations.

• Develop, automate, and oversee production-grade Directed Acyclic Graphs (DAGs) using asset-centric orchestration frameworks like Dagster.

• Establish real-time data freshness checks, anomaly detection, and automated alert systems.

• Work in collaboration with Data Engineering, Governance, and BI teams on ELT integration, semantic models, metric definitions, and data contracts.

• Ensure HIPAA and HITECH compliance throughout codebases.

• Implement row- and column-level security, dynamic PII/PHI masking, CI/CD code checks, and maintain technical documentation for audit preparedness.

⛳️ Requirements

• Over 6 years of experience in analytics and data engineering.

• Significant background in senior analytics engineering or data positions.

• Proficient in SQL, dbt, Python, and workflow orchestration platforms like Dagster/Airflow.

• Extensive hands-on experience with healthcare data frameworks, including FHIR, HL7, ICD-10, CPT, and claims feeds.

• Familiarity with PHI protection standards as outlined by HIPAA.

• Experience managing governed analytics pipelines within cloud data environments such as Databricks, Snowflake, AWS EMR/Redshift, and BigQuery.

🏝️ Benefits

• Health insurance.

• Life insurance.

• Retirement benefits.

• Participation in the company’s equity program.

• Paid time off, inclusive of vacation and sick leave.