Build batch and real-time data pipelines (Spark, Databricks, Snowflake).
Ingest, transform, and deliver structured and semi-structured data on cloud platforms.
Tune performance for scalable, cost-effective workflows.
Enforce data quality via validation, lineage, and schema enforcement.
Support HIPAA/GDPR compliance with data handling and encryption.
Work with metadata and data catalogs for accuracy and discoverability.

🎯 Requirements

Bachelor’s degree in CS, Engineering, or related field.
2–5 years in data engineering or data-focused software.
Healthcare data or EHR domain experience preferred.
Python and SQL for data workflows.
Apache Spark or Databricks for distributed processing.
Airflow, Temporal, and dbt for orchestration.

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