Top Tech Jobs & Startup Jobs in Seattle, WA

Operate and support the QRM mortgage banking risk system, importing and reconciling pipeline, loan, and hedge data. Produce daily risk, position, coverage, P&L, and best-execution reports for the capital markets trading desk. Maintain Power BI dashboards, ETL routines, QRM configurations, reports, and calculation logic. Validate model inputs, support SOX controls and Finance reconciliations, resolve data discrepancies, and respond to ad hoc requests while documenting procedures and partnering with internal stakeholders.

The BI Engineer administers enterprise BI and analytics platforms, governs data consumption, and develops dashboards, reports, KPIs, and self-service analytics. The role translates business requirements into scalable, validated solutions; manages access controls, metadata, data quality, continuity planning, platform costs, and process improvements. It also provides stakeholder consultation, resolves complex technical issues, mentors teammates, and supports enterprise data transformation using Power BI, Tableau, Azure, SQL, and multiple database technologies.

Own the strategy, roadmap, evaluation, governance, integration, launch, and lifecycle management of AI tools supporting mortgage sales. Discover Loan Officer needs, prioritize use cases, measure adoption and ROI, evaluate vendors, coordinate risk and compliance approvals, design workflows across enterprise systems, and lead enablement and change management. Partner with technical teams on integrations and internal AI builds while maintaining vendor guardrails and ensuring safe, valuable adoption.

The Data Engineer designs, builds, and optimizes enterprise data pipelines, lakes, warehouses, integrations, and analytics infrastructure. Responsibilities include ELT development using Snowflake and Informatica, data governance, quality, security, performance monitoring, PII protection, cost optimization, and support for analysts and data scientists. The role also delivers process improvements, analytics tools, stakeholder collaboration, technical mentoring, and scalable data architecture across cross-functional teams.

Leads enterprise data engineering initiatives by designing and optimizing data pipelines, data lakes, warehouses, and analytics infrastructure. Uses Snowflake, Informatica, SQL, and related technologies to integrate diverse data sources, improve data quality, secure PII, and support analytics and data science teams. Establishes governance, monitoring, scalability, performance, and cost-efficiency practices while mentoring teammates and partnering with stakeholders on complex technical solutions.

Manage enterprise BI and analytics platforms, data governance, access controls, and self-service reporting. Translate business requirements into governed dashboards, KPIs, metrics, and actionable insights using Power BI, Tableau, Azure, SQL, and multiple database technologies. Ensure data quality, platform scalability, business continuity, cost efficiency, and secure information delivery. Partner with business and technology stakeholders, lead process improvements, resolve complex issues, and mentor data professionals.

Manages end-to-end regulatory and compliance projects across mortgage origination, servicing, and corporate functions. Develops project plans, dashboards, milestones, and implementation roadmaps; coordinates cross-functional stakeholders; tracks risks, issues, dependencies, decisions, and regulatory deadlines; supports audits and examinations; manages change communications, training, documentation, governance reporting, KPIs, compliance manual updates, and executive presentations. Also drives retrospectives, records retention, workflow improvements, and transition of initiatives to ongoing control owners.

Lead design and implementation of secure, scalable, resilient cloud platform solutions; operationalize enterprise architecture through hands-on technical leadership, IaC and CI/CD automation, security and governance, platform modernization, mentoring, and cross-functional collaboration to improve reliability and operational maturity.

Manage development and delivery of enterprise reporting, analytics, dashboards, and data delivery solutions. Define product vision, roadmap, features, and user stories; prioritize and maintain backlog; run sprint planning, reviews, and retros; accept deliverables; remove blockers; partner with stakeholders, vendors, and EPMO to ensure accurate, compliant, and timely reporting products that deliver business value.

Senior technical lead responsible for translating platform architecture into consistent engineering execution across Platform Engineering, DevOps, SRE, QA, security, and IAM. Provides hands-on implementation guidance, removes technical blockers, improves execution visibility, mentors engineers, and serves as Technical Delivery Lead for platform initiatives to ensure architectural continuity and reusable platform capabilities.