Data Engineer

📋 Description

• Design, develop, and maintain scalable production-ready data pipelines using Spark, Python, and SQL
• Integrate and transform diverse health, financial, and operational datasets into reliable, reusable
• Develop data models and analytics datasets supporting enterprise reporting and decision-making
• Build and maintain API-based integrations for data ingestion and exchange
• Monitor, troubleshoot, and optimize scheduled workflows and production pipelines
• Implement data validation, quality checks, lineage, and governance practices

🎯 Requirements

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

🎁 Benefits

• Flexible PTO + all Federal holidays off
• Health, dental and vision insurance plans
• 401k with employer match
• Professional development (training, certifications, conferences)
• Company-sponsored life insurance, short/long-term disability
• Annual social events (540 Week, hackathon, charity golf tournament)