Python Data Engineer
Python Data Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
We are seeking a highly skilled Python Data Engineer with deep experience in CMS datasets (MOR MMR MAO) and a strong understanding of healthcare regulations and compliance standards (HIPAA). This role is ideal for a datadriven professional who thrives in cloudnative environments and is passionate about building robust scalable and efficient pipelines that drive healthcare innovation.
Key Responsibilities:
Design develop and maintain scalable ETL pipelines for CMS datasets using GCP Dataflow (Apache Beam) and Python
Architect and manage BigQuery data warehouses ensuring optimal performance and costefficiency
Implement and manage Airflow DAGs for workflow orchestration and scheduling
Ensure endtoend data quality lineage validation and governance in alignment with HIPAA and CMS standards
Optimize largescale healthcare datasets using partitioning clustering sharding and efficient query patterns in BigQuery
Collaborate within Agile teams using tools like Jira and Confluence for sprint planning and documentation
Monitor troubleshoot and improve pipeline reliability and performance across the full data lifecycle
Qualifications:
Bachelors degree in Computer Science Information Systems or related field
3 years of experience in cloudbased data engineering preferably with healthcare datasets
Strong proficiency in Python GCP Dataflow and Apache Beam
Expertlevel knowledge in BigQuery including schema design performance tuning and advanced SQL
Handson experience with Airflow forthe orchestration of complex data workflows
Indepth understanding of data warehouse design including star/snowflake schemas normalization and denormalization
Strong analytical skills for query and data optimization
Familiarity with Agile methodologies and collaboration tools (Jira Confluence)
Knowledge of CMS datasets (MOR MMR MAO) and healthcare data privacy/compliance standards (HIPAA)
Employment Type
Full-Time
