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Data Modeling Jobs in Oregon (NOW HIRING)

Weight Watchers

OR

$114K - $137K/yr

Data Modeling: Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets. * End-to-End Ownership: Lead projects from inception to ...

Prescryptive

OR · On-site

$114K - $137K/yr

You will be responsible for the architecture, design, and implementation of secure, scalable, high-performance ETL \ ELT data pipelines and Enterprise data models using Snowflake, helping power ...

The Planet Group

OR

$111K/yr

Perform data engineering tasks, including data modeling, data pipeline development, and cube development. Work with relational databases, including schema design, queries, views, store procedures ...

Amerilife Group, LLC

OR

$160K - $190K/yr

This role will define the architecture and modeling standards for AmeriLife's modern enterprise data platform built on Databricks and Lakehouse architecture. The ideal candidate brings deep expertise ...

HealthEquity

Director, CX Platform & Data Strategy

$137K - $182K/yr

This role requires direct, hands-on experience building CX and data platforms (data models, pipelines, logic, and systems) -not solely leading or overseeing delivery. Agentic CX implementation ...

Stillfront

Data Scientist

Myrtle Point, OR

As a Data Scientist in our Mobile Gaming Marketing team, you will power data-driven UA and growth ... You'll own and improve our pLTV and forecasting models, support A/B testing and ad-hoc insights ...

Futran Tech Solutions Pvt. Ltd.

Data engineer

Beaverton, OR · On-site

$120K - $145K/yr

Data Engineer Primary Responsibilities • Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data ...

Accenture

Azure Data Architect

Beaverton, OR

$66.05 - $76.05/hr

This role plays a critical part in defining data models, data flows, architectural standards, and best practices across the organization. Responsibilities: * Design and maintain enterprise data ...

Careoregon

OR · On-site

Create data models for advanced to complex subjects and provide guidance to junior architects. * Create advanced ETL specifications to meet business data needs. * Develop and maintain appropriate ...

Futran Tech Solutions Pvt. Ltd.

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

Data Engineer Primary Responsibilities • Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data ...

iHerb

OR

$114K - $137K/yr

Designs and builds scalable data extracts, integrations, transformations, and data models. * Ensures successful deployment and provisioning of data solutions across required environments. * Designs ...

Axiom Path

Enterprise Data Architect #3599143

Portland, OR · On-site +1

$150K - $173K/yr

Establish enterprise standards for data modeling, semantic structures, taxonomy, nomenclature, metadata, lineage, governance, security, scalability, and cost management. * Partner with business and ...

Quantiphi, Inc.

OR · On-site

Design data modeling frameworks and best practices for structured and semi-structured insurance data (Policy, Claims, Billing). * Collaborate with Business Analysts to translate functional Guidewire ...

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Data Modeling information

See Oregon salary details

$10

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How much do data modeling jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data modeling in Oregon is $62.08, according to ZipRecruiter salary data. Most workers in this role earn between $55.67 and $72.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Modeling position, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What are the four types of data modeling?

Data modeling in data analysis and database design typically includes four main types: conceptual, logical, physical, and dimensional modeling. Conceptual models define high-level data structures, logical models specify detailed structures without physical considerations, physical models translate logical models into actual database schemas, and dimensional models are used in data warehousing for analytical purposes. Data modelers often use tools like ER diagrams and require understanding of database systems and business requirements.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What are popular job titles related to Data Modeling jobs in Oregon? For Data Modeling jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Modeling jobs in Oregon look for? The top searched job categories for Data Modeling jobs in Oregon are:
What cities in Oregon are hiring for Data Modeling jobs? Cities in Oregon with the most Data Modeling job openings:
Data Modeling jobs near you

Staff Data Engineer

Weight Watchers

OR

$114K - $137K/yr

Other

Posted 15 days ago

Job description

Who we are

The Data Team at Weight Watchers is in a key position to shape the future of our business and products. Leveraging tens of billions of data points per year, we produce insights that enable Weight Watchers to better serve our 4 million worldwide members. We are equal partners with our peers in Product, Engineering, Marketing, Finance, and beyond. At Weight Watchers there's an authentic appetite for data-informed decision-making across the company, and our role is to educate and empower stakeholders by leading with transparency and expanding our stakeholders' understanding, often of deeply technical concepts.

What you will Do

We are seeking a seasoned Senior / Staff Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and Snowflake-based infrastructure, building the core capabilities required to support dynamic analytics and our transition toward more automated, self-service data workflows.

We need an engineer who can adapt to a dynamic product environment, who can ask the 'why' behind the 'what' to ensure we are building the right solutions. For candidates at the Staff level, we expect a proven track record of setting technical roadmaps and serving as a multiplier for the engineering and analytics teams.

Key Responsibilities
  • Data Enablement: Support the analytics layer by developing core Looker views and building out our agentic AI infrastructure to derive automated self-service capabilities and reduce reporting bottlenecks.
  • Pipeline Architecture: Design, build, and scale ELT pipelines that are resilient, efficient, and modular.
  • Cross-Functional Collaboration: Partner with Finance, Product, and Analytics to ensure our data models solve the right problems.
  • Data Modeling: Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets.
  • End-to-End Ownership: Lead projects from inception to production, taking accountability for data integrity and the trustworthiness of the platform.
  • Operational Excellence: Monitor production health using monitoring tools (e.g. Datadog, Monte Carlo) ensuring our data ecosystem remains robust and reliable.
  • Technical Leadership: Act as a technical lead, conduct code reviews, define engineering culture, and champion best practices.
Who you are
  • Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses.
  • Snowflake Expertise: Proven experience with Snowflake performance optimization and cost-governance. Familiarity with Snowflake Cortex/MCP is a plus.
  • Technical Mastery: 
    • Advanced Software Engineering (Python): Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing.
    • Data Modeling & SQL Mastery: Expert-level SQL and a sophisticated understanding of data warehousing methodologies to build performant, scalable analytics layers.
    • Infrastructure & Automation: Practical experience with modern CI/CD frameworks (e.g., GitHub Actions, Argo CD) to drive engineering velocity and platform stability.
    • Workflow Orchestration: Expertise in architecting and scaling orchestration-as-code workflows (e.g., Prefect or Airflow) to manage complex dependencies and ensure pipeline resilience.
    • Observability & Reliability: Deep proficiency in deploying monitoring and alerting frameworks (e.g., Datadog) to maximize system uptime while mitigating alert fatigue.
  • Operational Maturity: Experience managing business-critical production pipelines with a focus on uptime, data quality, and defining SLAs.
  • Education: BS/MS in Computer Science, Information Systems, or a related technical field.

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