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Data Dimensions Jobs in Oregon (NOW HIRING)

Sr Data Engineer, Agentic AI

Portland, OR

$121K - $145K/yr

Develop semantic views, business metrics, dimensions, and reusable data assets that support self-service analytics and natural language data access * Partner with product, analytics, and engineering ...

OR

$104K - $142K/yr

Define the data, instrumentation, and custom dimensions required to support SEO, AI visibility, content performance, and entity-level analysis across Autodesk's marketing ecosystem * Partner with SQL ...

Analytics Engineer

OR · On-site +1

$140K - $170K/yr

Build conformed dimensions, fact tables, and reporting models that balance performance, maintainability, and business user accessibility for Tableau dashboards and ad-hoc analysis * Data Quality:

Standardize key metrics and dimensions across reporting domains * Partner with Data Engineering to align data structures with analytical needs Power BI Environment Governance * Own the Power BI ...

Our Director is looking for a BI Developer that manipulates data into a cube or dimensions, SSAS - this is newer methodology. Qualifications Education and/or Experience: Bachelor's Degree in Computer ...

HRIS Manager

OR · Remote

$120K - $130K/yr

Experience with integrations, APIs, and data feeds * HR/HRIS certifications (SHRMCP/SCP, PHR/SPHR, UKG Pro/Dimensions) * Experience supporting global or complex workforce environments Why Envoy ...

Machinist

Eugene, OR · On-site

$21.75 - $30/hr

... dimensions and tolerances of finished work piece and setup requirements Measure, mark, and scribe ... data Confer with production personnel, programmers, or others to resolve machining or assembly ...

We connect people, data, and processes in one intuitive, feature-rich solution, empowering every ... Your contribution spans two dimensions: delivering change management expertise on complex client ...

Machinist

Eugene, OR · On-site

$21.75 - $30/hr

... dimensions and tolerances of finished work piece and setup requirements • Measure, mark, and ... data • Confer with production personnel, programmers, or others to resolve machining or assembly ...

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... determine dimensions and tolerances of finished work piece, sequence of operations and set-up ... data ensuring functionality and performance. • Start and observe machine operation to detect ...

UKG Pro WFM Solution Architect

OR · On-site +1

$59 - $77.75/hr

Experience as a solution architect for UKG Pro WFM / Dimensions Implementation for a multi country ... and ensure data accuracy. * Deep expertise in UKG Pro WFM, systems integrations and WFM best ...

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Insurance Inspector

Astoria, OR · On-site

$17 - $25/hr

As an Insurance Inspector you'll be on-site conducting insurance underwriting inspections collecting data for a condition assessment, measurement dimensions of the property. Including but not limited ...

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As an Insurance Inspector you'll be on-site conducting insurance underwriting inspections collecting data for a condition assessment, measurement dimensions of the property. Including but not limited ...

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Insurance Inspector

Albany, OR · On-site

$17 - $25/hr

As an Insurance Inspector you'll be on-site conducting insurance underwriting inspections collecting data for a condition assessment, measurement dimensions of the property. Including but not limited ...

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Insurance Inspector

Bend, OR · On-site

$17 - $25/hr

As an Insurance Inspector you'll be on-site conducting insurance underwriting inspections collecting data for a condition assessment, measurement dimensions of the property. Including but not limited ...

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Data Dimensions information

What are Data Dimensions?

Data dimensions are attributes or perspectives by which data can be categorized, organized, and analyzed. In the context of data management and analytics, dimensions such as time, geography, product, or customer allow users to slice and dice data for deeper insights. For example, a sales dataset might have dimensions like region and sales period, enabling users to analyze performance by different locations or times. Understanding data dimensions is essential for building effective reports, dashboards, and business intelligence solutions. They help transform raw data into meaningful information for decision-making.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science. Familiarity with data analysis tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau is typically required. Excellent problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are essential for extracting meaningful insights from data, supporting business decisions, and clearly conveying findings to stakeholders.

What are some common challenges faced by professionals working in data dimensions roles, and how can they overcome them?

Professionals in data dimensions roles often encounter challenges related to ensuring data quality, consistency, and proper integration across multiple data sources. Managing large volumes of data and maintaining accurate dimensional hierarchies can be complex, especially in organizations with rapidly evolving datasets. To overcome these challenges, it's important to establish clear data governance practices, collaborate closely with data engineers and business analysts, and leverage robust data management tools. Continuous learning and staying updated on best practices in data modeling and warehousing also contribute to long-term success in this field.
What are popular job titles related to Data Dimensions jobs in Oregon? For Data Dimensions jobs in Oregon, the most frequently searched job titles are:
Infographic showing various Data Dimensions job openings in Oregon as of June 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution.
Sr Data Engineer, Agentic AI

Sr Data Engineer, Agentic AI

Mainz Brady Group

Portland, OR

$121K - $145K/yr

Other

Posted 9 days ago


Job description

Senior Data AI Engineer (Snowflake / Semantic Modeling / Agentic AI)

We're looking for a Senior Data AI Engineer to help build the foundation for next-generation AI and analytics capabilities within a healthcare payer environment. This role will focus on designing Snowflake-based semantic data assets that power trusted analytics, natural language querying, and agentic AI-driven insights.


The ideal candidate brings deep Snowflake expertise, strong semantic modeling experience, and a passion for building scalable data products that enable both business users and AI-powered solutions to access and understand data more effectively.


What You'll Be Doing

  • Design and implement scalable Snowflake data models and pipelines supporting analytics and Agentic AI initiatives
  • Build and maintain bronze, silver, and gold data layers using medallion architecture principles
  • Develop semantic views, business metrics, dimensions, and reusable data assets that support self-service analytics and natural language data access
  • Partner with product, analytics, and engineering teams to translate business requirements into governed data products
  • Optimize Snowflake performance, transformations, and data architecture for scalability and reliability
  • Implement data quality validation, profiling, testing, and governance practices
  • Support Snowflake Cortex-enabled analytics, semantic intelligence, and AI-assisted workflows
  • Document semantic definitions, data lineage, and architectural standards

Required Experience

  • Healthcare or payer industry experience (member, claims, provider, quality, or reference data)
  • Expert-level Snowflake SQL skills, including complex transformations, CTEs, advanced joins, and analytic/window functions
  • Strong experience building Snowflake data solutions using medallion architecture (bronze, silver, gold)
  • Hands-on semantic modeling experience including metrics, dimensions, grain, relationships, and semantic views
  • Experience validating data quality, profiling datasets, and ensuring trustworthy business outputs
  • Strong communication skills and ability to work cross-functionally with product, analytics, and engineering teams

Preferred Experience

  • Snowflake Cortex, semantic intelligence, or AI-enabled analytics solutions
  • Agentic AI, natural language analytics, or AI-assisted engineering workflows
  • dbt development and governed self-service analytics environments
  • Python for automation, metadata processing, validation, or AI-related engineering initiatives
  • Experience evaluating, troubleshooting, and optimizing AI agent performance

This is an exciting opportunity to help shape the future of AI-powered analytics by building trusted semantic data foundations that support both business users and intelligent agent-driven solutions.