Data Engineer

📋 Description

• Create, develop, and sustain efficient ETL/ELT pipelines utilizing dbt, Python, and SQL.

• Operate within AWS and Snowflake ecosystems to oversee data storage, processing, and accessibility.

• Collaborate with data scientists, analysts, and application developers to provide clean, well-structured data.

• Design solutions that incorporate healthcare revenue cycle data (such as 835/837 files).

• Execute data validation, lineage tracking, and governance protocols.

• Assist downstream systems by supplying curated datasets.

• Play a role in the modernization of outdated systems.

⛳️ Requirements

• Minimum of 5 years of experience in data engineering or a related discipline.

• Practical experience with dbt, Snowflake, and cloud services (preferably AWS).

• Proficient SQL capabilities.

• Moderate proficiency in Python.

• Prior experience with healthcare data, particularly in revenue cycle management, is strongly preferred.

• Knowledge of ETL tools, CI/CD workflows, and version control systems (such as GitHub).

• Familiarity with data governance and compliance frameworks (for instance, HIPAA).

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance

• Short-term disability coverage

• Long-term disability coverage

• Paid holidays

• 401k plan

• Generous paid time off policy