• Builds SQL-based transformation workflows that parse, cleanse, and model complex data with accuracy and resilience within established patterns and standards. • Writes and maintains production-ready dbt models in Snowflake, including tests and documentation appropriate to the change. • Contributes Python workflows that complement SQL/dbt transformations and automate repeatable data tasks. • Supports the successful delivery of daily financial data feeds that standardize raw data from numerous sources into our warehouse. • Supports exports of fresh, correct datasets to downstream production systems, validating outputs and surfacing issues early. • Resolves data issues through analysis and lineage tracing, escalating with clear evidence and proposed fixes when needed. • Delivers high-quality features that meet expectations for correctness, maintainability, and operational safety. • Develops a working understanding of domain-specific custodial data and how it affects customer experience and product behavior. • Uses AI-assisted development tools effectively to increase productivity and code quality (we use Devin and Cursor heavily). • Demonstrates continuous improvement in independence, throughput, and quality across delivery cycles. • Ensures day-to-day technical contributions align with team priorities and company objectives.