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Data Engineer - Xponential Technology Services
Data Engineer
Data Engineer with 4–7 years experience building HIPAA‑compliant data pipelines, designing schemas, and supporting AI/LLM workloads using Python, SQL, Airflow, Snowflake, and AWS.
About the role
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines that ingest and transform healthcare data while ensuring PHI protection.
- Collaborate with DBAs to co‑design relational and analytical schemas optimized for AI and large‑language‑model workloads.
- Implement workflow orchestration using Apache Airflow and schedule jobs on AWS services.
- Manage data storage and query performance in Snowflake, including partitioning, clustering, and security controls.
- Monitor pipeline health, troubleshoot failures, and continuously improve data reliability and latency.
Requirements
- 4–7 years of professional experience as a Data Engineer or similar role.
- Strong proficiency in Python and SQL for data manipulation and scripting.
- Hands‑on experience with Apache Airflow for workflow orchestration.
- Experience working with cloud data platforms, preferably Snowflake and AWS (S3, Redshift, Lambda).
- Understanding of HIPAA compliance and best practices for handling protected health information.
Skills
pythonsqlsnowflakeaws