Join the dynamic technology department as a Senior Staff member in Database Engineering at a mortgage servicing, SaaS-based, financial technical company. This role requires a deep understanding of database administration, data modeling, and query languages. You will administer databases, design data models, and resolve complex data-related issues.

You will lead the design, development, and implementation of data-centric solutions to drive actionable insights and enhance decision-making processes. You will collaborate with cross-functional teams to architect scalable and efficient data pipelines, optimize data storage and retrieval systems, and ensure data quality and integrity throughout the data lifecycle.

We are looking for an experienced data analyst with a passion for solving problems with data and delivering data that is easily consumable for business users. The ideal candidate is committed to continuous learning and will excel at navigating stakeholder relationships. On the Data as a Product team, you will further our vision of providing curated data sets and standardized reporting through self-service tools.

This role provides the opportunity to use data analysis and development skills to improve the health and well-being of Oregonians and beyond. Position is responsible for gathering requirements and business process knowledge to transform data into analytics solutions and will develop, implement, and maintain a variety of business intelligence solutions.

As a Data Engineer you will play a critical role in the design, implementation, and maintenance of our data infrastructure and pipelines. You'll collaborate closely with cross-functional teams including engineering, product, and revenue to ensure that our data is accurate, accessible, and reliable for making informed business decisions.

We are seeking a Senior Power BI developer who will be responsible for designing, developing, and deploying advanced Power BI reports and dashboards, maintaining data analytics platforms, and ensuring optimized query performance. The candidate will connect to various data sources and transform data into actionable insights through Power BI.

As the leader of the analytics engineering team, you’re going to build and lead the team, develop deep product expertise, leverage AI and LLMs, unlock the value of our data, and directly deliver business impact. Prioritize outcomes over tools and bridge the gap between business and data to drive real value in decision-making.

Lead and scale the data function, guide data strategy, drive insights for critical decisions, and build a high-performing data team; working cross-functionally with product, marketing, operations, finance, and the exec team to ensure data is at the core of every decision.

In this role, you will report to the Director of Analytic Engineering or Head of the Data Office and support a wide range of architecture, engineering, BI, and other special projects across the organization providing strategic recommendations and hands-on technical expertise to architect solutions and address emerging challenges.

The VP of Data Engineering will manage the leadership team that supports Data Engineering, Data Science, and Data Analytics. They will act as lead architect and take responsibility for the ownership of the data platform itself, impacting revenue, strategic decisions, and products across the company.