📋 Description

• Design, develop, and maintain scalable production data pipelines in Spark, Python, and SQL
• Integrate diverse health, financial, and operational data into reusable data products
• Develop data models and analytics datasets for reporting and decision making
• Build and maintain API-based data integrations across systems
• Monitor, troubleshoot, and optimize production pipelines for performance and reliability
• Implement data validation, lineage, and governance practices

🎯 Requirements

• 3+ years of data engineering, software engineering, or related experience
• Strong proficiency with Python and SQL
• Experience with Apache Spark or similar frameworks
• Experience with Databricks or similar modern data platform
• Experience building production data pipelines and ETL/ELT
• Working knowledge of data modeling and transforming raw data into analytics datasets

🎁 Benefits

• Flexible PTO + federal holidays off
• Health, dental, and vision insurance
• Flexible Spending Account (FSA)
• 401k with employer match
• Company-sponsored life insurance and disability
• Professional development (training, certifications, conferences)