Data Engineer, Onboarding

📋 Description

• Develop, implement, and maintain ETL/ELT data pipelines using Databricks, PySpark, and Python
• Ingest, parse, transform, and validate healthcare data, including 837 healthcare claims, 835
• Support data conversion and migration initiatives, including transitioning information from legacy
• Build reusable automation tools and data processing workflows using Python, PySpark, and SQL to
• Implement automated data validation, quality controls, and reconciliation procedures to identify
• Monitor and maintain customer data feeds and file-processing workflows following implementation

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Health Informatics, Information Systems, or a
• At least three years of experience in data engineering, ETL/ELT development, and data warehousing.
• A minimum of two years of hands-on experience with Python and SQL, including data transformation
• At least one year of practical experience using Databricks and PySpark to develop, maintain, and
• Working knowledge of Snowflake and SQL-based transformation techniques, with an understanding of
• At least one year of experience in healthcare, preferably in revenue cycle management (RCM), with a

🎁 Benefits

• Competitive compensation: Annual salary ranging from $125,000 to $135,000.
• Fully remote work: Work remotely within the United States.
• Comprehensive healthcare coverage: Medical, dental, and vision insurance.
• Retirement benefits: 401(k) plan with employer matching contributions.
• Flexible paid time off: Unlimited vacation policy, designed to encourage employees to take time off
• Learning and development: Access to an on-demand learning program to support continuous