• Engineer Complex Data Transformations: You will lead the development of pipelines that translate unstructured XBRL and securities data into optimized SQL Server environments, making complex financial filings accessible and queryable. • Power High-Visibility Applications: You will architect the backend data layer that serves a suite of web applications, ensuring fast load times and data integrity for a diverse user base at a major federal regulator. • Optimize Cloud-Scale Processing: You will leverage AWS and big data tools to handle increasing data velocity and variety, ensuring our infrastructure scales alongside the evolving needs of the financial markets. • Ensure Data Precision: You will implement rigorous validation and cleansing logic within the pipeline to ensure that the data driving federal oversight is accurate, consistent, and audit-ready.

• Build and Maintain Bronze/Silver Layer Pipelines: You will ensure core data sources lands accurately, on time, and with full lineage. • Lead Data Ingestion, Transformation, and Enrichment: You will own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution. • Develop Automated Ingestion Pipelines: You will use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind. • Implement dbt Models: You will write clean, tested, documented SQL that follows medallion architecture patterns and supports incremental processing at scale. • Establish Scalable Engineering Patterns: You will create reusable templates, macros, and testing frameworks that accelerate onboarding of new data sources without sacrificing quality. • Ensure Data Quality and Observability: You will implement dbt tests, freshness checks, and anomaly detection. You will own the pipeline reliability and respond to data quality incidents. • Collaborate with the Architect and Stakeholders: You will translate business requirements into technical specifications, participate in design reviews, and contribute to ADRs, and you will ensure pipelines align with enterprise standards.

• Build and Maintain Bronze/Silver Layer Pipelines: You will ensure core data sources lands accurately, on time, and with full lineage. • Lead Data Ingestion, Transformation, and Enrichment: You will own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution. • Develop Automated Ingestion Pipelines: You will use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind. • Implement dbt Models: You will write clean, tested, documented SQL that follows medallion architecture patterns and supports incremental processing at scale. • Establish Scalable Engineering Patterns: You will create reusable templates, macros, and testing frameworks that accelerate onboarding of new data sources without sacrificing quality. • Ensure Data Quality and Observability: You will implement dbt tests, freshness checks, and anomaly detection. You will own the pipeline reliability and respond to data quality incidents. • Collaborate with the Architect and Stakeholders: You will translate business requirements into technical specifications, participate in design reviews, and contribute to ADRs, and you will ensure pipelines align with enterprise standards.

• Drive the technical strategy and execution for our engineering teams • Lead the development of a scalable, high-performance lending ecosystem from customer onboarding to checkout • Architect and build customer-centric financial products, ensuring a frictionless and optimized user experience and orchestrating large-scale financial transactions • Define and execute the technical vision and best practices for a high-performing engineering team • Lead architectural decisions to enhance scalability, reliability, and efficiency of the lending platform • Collaborate with Product, UX, and Business teams to align technology with strategic goals • Design, build, and maintain customer-facing lending applications using Node.js, TypeScript, React/Redux, Angular, Sequelize, PostgreSQL, and Docker • Develop and optimize high-quality, testable code, implementing unit and integration tests with Mocha, Chai, Sinon, and Sequelize • Ensure performance, security, and scalability through best-in-class software engineering practices • Identify and resolve defects through debugging, profiling, logging, log analysis, tracing, and FullStory session replays • Oversee code deployment to Staging and Production environments • Partner with Quality Engineers to address issues found in testing and improve automated testing coverage • Lead and participate in Agile ceremonies • Break down product requirements into engineering deliverables in Jira • Review and provide critical feedback on Product Requirements Documents, Epics, and User Stories, influencing the technical and business roadmap • Recommend alternative technical solutions to optimize delivery speed, enhance customer experience, and reduce costs • Maintain technical documentation • Contribute to Earnest’s DevOps culture and participate in rotating on-call support for production applications