Data Engineer

We collaborate with cross-functional teams to deliver reliable, production-grade data pipelines that power analytics, AI, and reporting products.

• Build and maintain data pipelines using Databricks and/or Snowflake
• Design and implement robust, scalable ETL processes
• Apply data pipeline architecture best practices, including orchestration, data quality, and monitoring
• Ensure compliance with HIPAA/PHI regulations across the handling, storage, and processing of sensitive data
• Collaborate with analytics, product, and engineering teams to ensure data availability and quality

• Hands-on experience building and maintaining data pipelines using Databricks (notebooks, jobs, and cluster configuration) and/or Snowflake (warehouses, virtual warehouse sizing, and workload management)
• Strong proficiency in SQL for querying, transforming, and validating data across multiple sources
• Practical experience designing and implementing ETL processes, from data extraction and transformation to loading into target systems
• Solid understanding of data pipeline architecture principles, including scalability, reliability, and maintainability of production workflows
• Working knowledge of HIPAA/PHI data governance and security compliance requirements, including safe handling, storage, and access control of protected health information
• Ability to troubleshoot and resolve data pipeline issues in a production environment
• Strong attention to detail and commitment to data quality and accuracy when working with sensitive datasets

• Paid vacations for 20 days after one year
• Referrals program and finder's fee rewards
• Training and certification programs
• Work from home aid
• English classes
• Access to a fitness program
• Profit sharing
• Coaching sessions for personal development