Job Description

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

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