Snowflake Engineer

We're hiring a Snowflake Engineer to join a data engineering team building and optimizing pipelines that power analytics and business intelligence. This is a hands-on role for someone strong in Snowflake, Python, and SQL, with a focus on scalable ETL, performance tuning, and reliable data delivery. Remote is OK (US-based). Location / Work Setup • Remote (US-based) • 40 hours/week • Contract through 04/30/2026 What You'll Do • Design, implement, and maintain scalable data pipelines and ETL processes using Snowflake. • Develop and optimize SQL queries and stored procedures for efficient processing. • Build and maintain Python workflows for automation and integrations. • Partner with analysts, data scientists, and stakeholders to deliver high-quality data solutions. • Ensure data integrity, security, and compliance with relevant standards. • Monitor, troubleshoot, and tune data systems for availability and performance. • Document data models, pipelines, and best practices. Required Qualifications • 5+ years in data engineering (or closely related) • Expert-level Snowflake (including performance tuning and advanced features) • Strong Python for data processing/automation • Advanced SQL (complex queries + optimization) • Experience with data modeling, ETL frameworks, and data warehousing concepts • Familiarity with at least one cloud platform (AWS, Azure, or GCP) • Strong problem-solving and communication skills Preferred / Nice-to-Have • Experience with mortgage and loan data (lending processes and compliance concepts) • Knowledge of data governance / data quality frameworks in financial services • Exposure to BI tools (Tableau, Power BI) and orchestration tools (Airflow) #ZR