Data Engineer

• Design, develop, and optimize high-performance ETL/ELT pipelines using Python, dbt, and Snowflake.
• Build and manage real-time ingestion pipelines leveraging AWS Lambda and CDC systems.
• Develop scalable serverless solutions with AWS, adopting event-driven architecture patterns.
• Manage containerized applications using Docker and infrastructure as code via GitHub Actions.
• Create sophisticated, multi-layered Snowflake data models optimized for scalability, flexibility, and performance.
• Integrate and manage APIs for Salesforce, Braze, and various financial systems, emphasizing robust error handling and reliability.
• Implement robust testing frameworks, data lineage tracking, monitoring, and alerting.
• Enhance and manage CI/CD pipelines, drive migration to modern orchestration tools (e.g., Dagster, Airflow), and manage multi-environment deployments.

Senior Data Engineer

Data Engineer Intern

Lead Data Engineer

Senior Data Engineer, Vehicle Telematics

Senior Data Engineer, Consultant

AWS Data Engineer