Senior Data Engineer

Job Summary

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