Data Engineer 3

📋 Description

• Design, develop, and implement scalable data pipelines for ingesting, transforming, and processing
• Build and maintain ETL/ELT workflows supporting the integration and processing of CMS and Medicaid
• Develop and manage data processing workflows using Databricks and distributed computing
• Create data transformation and analytics solutions using Python, PySpark, and SQL.
• Ensure data quality, consistency, integrity, and governance across multiple systems and platforms.
• Optimize data pipeline performance and large-scale processing workloads to improve efficiency and

🎯 Requirements

• Bachelor's degree with at least 5 years of relevant professional experience, or a Master's degree
• Previous experience working with CMS systems and/or Medicaid datasets.
• Hands-on experience with cloud-based data analytics platforms, particularly Databricks.
• Strong programming expertise in Python, PySpark, and SQL.
• Proven experience designing and developing distributed data processing pipelines.
• Experience handling, transforming, and analyzing large-scale healthcare datasets.

🎁 Benefits

• Competitive annual base salary ranging from $95,000 to $120,000, with potential variation of up to
• Comprehensive employee benefits package.
• Flexible work schedules to support work-life balance.
• Remote working opportunity.
• Professional development and continuous learning opportunities.
• Wellbeing programs designed to support employees' personal and professional needs.