Senior Data Engineer

Building and operating foundational data infrastructure, the full-time Senior Data Engineer will design, develop, and maintain scalable batch and streaming pipelines, curated data models, and platform services to support analytics and operational workflows in a remote environment. Key responsibilities Design, build, and operate end-to-end data pipelines that ingest, transform, and deliver data from diverse sources into the enterprise data platform Develop and maintain curated data models and shared datasets in Snowflake and PostgreSQL to meet performance and access-control requirements Implement data quality frameworks including automated validation and exception reporting to ensure data integrity and auditability Required qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field 5+ years of experience in data engineering or platform engineering, preferably in financial services or a regulated industry Strong SQL and Python skills with a proven track record of building production-quality data pipelines Hands-on experience with Snowflake and PostgreSQL, including performance tuning and secure data access patterns Experience with pipeline orchestration and workflow management tools such as Apache Airflow or equivalent