[Hiring] Database Engineer @State of Oregon

Role Description

The Oregon Department of Human Services is proud to be an Equal Opportunity Employer. We are guided by our Equity North Star and our vision for a positive RiSE organizational culture that advances equity and diversity. We encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQIA2S+ community members, and others to help us achieve our vision of a diverse and inclusive community.

We are seeking a Database Engineer to join our team! This position ensures that ODHS data infrastructure is secure, reliable, efficient, and scalable, enabling high-quality reporting, advanced analytics, and self-service BI capabilities.

The position plays a critical role in transforming complex transaction data into well-structured data warehouse models, including star schemas and semantic layers, that support agency-wide decision-making and equity-focused outcomes. The Database Engineer will also contribute to the modernization of ODHS data infrastructure, including the migration from traditional on-premises data warehouse environments to the Snowflake cloud data platform.

The position functions as a technical expert within the ODHS Data Office and collaborates closely with BI developers, data engineers, data analysts, database administrator professionals, and external partners to design, develop, and implement integrated data solutions. This includes supporting cloud data migration, workflow automation, data modeling, data governance, security, and other strategic initiatives that advance ODHS's mission through data-driven insights.

Summary of Duties

• Collaborate directly with ODHS program business partners to understand business processes, workflows, data needs, and reporting requirements.
• Translate business processes and requirements into conceptual data models and develop logical and physical data models.
• Design, develop, and implement Power BI semantic models based on business requirements and enterprise data models.
• Identify and integrate data from multiple sources and design data solutions optimized for performance, scalability, reliability, security, and ease of use.
• Design, develop, and maintain data solutions across on-premises SQL Server and cloud-based Snowflake environments.
• Establish and document standards for role-based access control (RBAC), encryption, data masking, metadata management, data lineage, and data documentation.
• Apply data warehouse and database best practices for indexing, partitioning, clustering, performance, scalability, reliability, and cost effectiveness.
• Troubleshoot complex database and data warehouse issues and recommend scalable and cost-effective solutions.
• Collaborate with DBAs, data engineers, BI developers, reporting teams, business partners, and leadership to design and implement data solutions.
• Promote and foster a diverse, qualified, and discrimination/harassment-free workplace.
• Recognize and value all individuals regardless of their cultures, identities, and backgrounds.

Qualifications

• Six (6) years of information systems experience in:
• Experience analyzing business processes and data requirements and translating them into conceptual, logical, and physical data models.
• Designing and implementing data warehouse solutions.
• Developing governed semantic models to support enterprise reporting, analytics, and self-service business intelligence.
• OR An Associate's degree in Computer Science, Information Technology, or related field, OR completion of a two (2) year accredited vocational training program in information technology or related field; AND four (4) years of information systems experience.
• OR A Bachelor's degree in Information Technology, Computer Science, or related field AND two (2) years of information systems experience.
• OR Master's degree in Information Technology, Computer Science, or related field may substitute for all of the above.

Requirements

• Advanced experience designing and developing enterprise data warehouse solutions using SQL Server, Snowflake, or similar relational and cloud data platforms.
• Experience designing and implementing ETL/ELT workflows and data integration solutions using SQL, Azure Data Factory, Python, or similar technologies.
• Experience analyzing business processes and requirements and translating them into conceptual, logical, and physical data models, including dimensional models and star schemas.
• Experience designing, developing, and implementing Power BI semantic models, including relationships, measures, DAX, and row-level security (RLS).
• Experience applying data governance, security, metadata, data lineage, performance, and DevOps practices to enterprise data solutions.
• Strong communication, collaboration, and knowledge-sharing skills.

Benefits

• ODHS Employee Resource Group communities that promote shared learning.
• Cost of Living Adjustments.
• Annual salary increases (until you reach the top of the listed salary range).
• Amazing benefits package.
• Possible eligibility for the Public Service Loan Forgiveness Program.