Senior Data Engineer

We are seeking a Senior Data Engineer with deep, hands-on Snowflake experience to design, optimize, and support scalable data solutions in a fully remote, U.S.-based role. This position focuses on high-impact Snowflake work, including performance tuning, complex data challenges, and on-prem to cloud migration initiatives. The ideal candidate is highly technical, communicative, and comfortable working with messy, real-world data across multiple sources. Responsibilities • Design, build, and optimize scalable data pipelines and data models in Snowflake • Leverage advanced Snowflake features to improve performance, efficiency, and scalability • Tune and optimize complex SQL queries and workloads • Support and execute migrations from on-prem data environments to Snowflake • Work with inconsistent, multi-source internal and external datasets • Partner with stakeholders to gather requirements and translate them into technical solutions • Document data processes, architectures, and optimization strategies Requirements • Senior-level experience as a Data Engineer • Minimum 2+ years of hands-on Snowflake experience, beyond basic querying • Strong SQL skills with proven performance tuning and optimization experience • Experience supporting or leading on-prem to Snowflake migrations • Python experience or equivalent scripting language proficiency • Experience working with complex, messy, or poorly structured data • Strong written and verbal communication skills • Must reside in the United States and be generally aligned to U.S. Eastern Time Nice to Have: • Mortgage or financial services data experience • Experience with Airflow, dbt, or similar orchestration tools • Cloud platform experience (AWS, Azure, or GCP) • Background in regulated or highly data-governed environments