Analytics Engineer

📋 Description Build end-to-end data models and pipelines for the CDM. Implement data quality checks, contracts, validation, and monitoring. Partner with upstream teams to fix data gaps at the source. Support regulatory exams, audits, and regulator requests with timely data. Automate recurring manual workflows into scalable pipelines and self-serve tooling. 🎯 Requirements 2+ years building and maintaining production data pipelines and models Proficiency in SQL, Python, dbt, and Snowflake/Databricks Experience implementing data quality frameworks (contracts, validation, monitoring) Experience supporting regulatory exams or audits with accuracy and timeliness Ability to turn tribal knowledge into durable, documented infrastructure; responsible AI use 🎁 Benefits Equal Opportunity Employer Accommodations: disability accommodations contact Screen reader and accessibility resources available Candidate Privacy Notice and arbitration information AI Disclosure: Ironwood Digital piloting AI interview tools with human oversight