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Data Modeler Jobs in Seattle, WA (NOW HIRING)

The Experience The Data Modeler role is part of Salesforce's Tech and Product (T&P) Data Modeling Team - a passionate, world-class group of data model designers who shape the data model across every ...

MongoDB WithNoSQL (USC & GC ONLY)

Issaquah, WA · On-site

$63.25 - $82/hr

Experience in Relational Data modeling, Database performance tuning, * Application Integration, Database planning is an added advantage. * Up-to-date on key trends and understands market dynamics and ...

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions * Consistently evolve data processes and techniques following industry best practices * Establish ...

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

Define and implement best practices for data modeling, pipeline orchestration, testing, and monitoring * Drive improvements in data architecture, including warehousing, transformation layers, and ...

Partner closely with data engineering on data modeling, pipeline design, and scalable architecture decisions * Maintain a prioritized product backlog with clearly defined epics, stories, and ...

Retail Data Architect

Issaquah, WA · On-site

$65 - $70/hr

Design and develop enterprise data models using Erwin for both OLTP and OLAP environments, including support for JSON and mixed data types. * Create and optimize modernized web application data ...

Sr. Data Engineer

Seattle, WA · On-site

$140K - $170K/yr

Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions * Consistently evolve data processes and techniques following industry best practices * Establish ...

Data Engineer II, AAE

Bellevue, WA · On-site

$129K - $155K/yr

You should be comfortable operating in ambiguity, designing data models from scratch for new services, and making architectural trade-off decisions that scale. This is a high-visibility role. Your ...

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Data Modeler information

See Seattle, WA salary details

$11

$66

$94

How much do data modeler jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data modeler in Seattle, WA is $66.82, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $77.69 per hour, depending on experience, location, and employer.

What are Data Modelers?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

What are some typical challenges Data Modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

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

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What Is the Job of a Data Modeler?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

What are the most commonly searched types of Data Modeler jobs in Seattle, WA? The most popular types of Data Modeler jobs in Seattle, WA are:
What are popular job titles related to Data Modeler jobs in Seattle, WA? For Data Modeler jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Modeler jobs in Seattle, WA look for? The top searched job categories for Data Modeler jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Modeler jobs? Cities near Seattle, WA with the most Data Modeler job openings:

Senior Data Modeler

Globenet Consulting Corp

Lynnwood, WA • On-site

$50 - $55/hr

Full-time

Posted 6 days ago


Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Role: Senior Data Modeler — Enterprise Analytics & Data Platforms
Location: Morristown, NJ (Hybrid — 3 days/week onsite)
We’re looking for a Senior Data Modeler (7+ years) to design, develop, and maintain scalable data models that power enterprise analytics, data warehousing, and modern application development. In this role, you’ll partner closely with engineers, architects, analysts, and business stakeholders to translate complex requirements into high-performing data structures, modeling standards, and documentation that improve usability, governance, and data quality across the organization.
What you’ll do
  •  Design conceptual, logical, and physical data models for relational, dimensional, and NoSQL data stores. 
  •  Create and maintain ERDs, data flow diagrams, and modeling documentation aligned to enterprise standards. 
  •  Collaborate with engineering and architecture teams to support efficient ingestion, transformation, and reporting pipelines. 
  •  Translate business needs into optimized schemas that balance scalability, performance, and maintainability. 
  •  Lead data model reviews, enforce standards, and mentor junior team members on best practices. 
  •  Develop and maintain data dictionaries, metadata, and lineage documentation to improve discoverability and reuse. 
  •  Design star/snowflake schemas for data warehouse and data mart environments in partnership with analytics teams. 
  •  Identify and resolve data quality, redundancy, and integrity issues through effective modeling and normalization/denormalization strategies. 
  •  Support governance initiatives, including standardization, cataloging, and stewardship alignment. 
  •  Participate in Agile delivery, producing modeling artifacts iteratively within sprint cycles. 
Required qualifications
  •  7+ years of experience in data modeling, data architecture, or a closely related discipline. 
  •  Expert proficiency with modeling tools such as Erwin, ER/Studio, and/or dbt. 
  •  Strong experience with relational databases (SQL Server, Oracle, PostgreSQL) and cloud data platforms such as Databricks, Snowflake, BigQuery, Redshift, and Azure Synapse. 
  •  Deep knowledge of dimensional modeling approaches (Kimball, Inmon) and Data Vault 2.0. 
  •  Advanced SQL skills for schema design, query optimization, and data validation. 
  •  Proven ability to work independently, manage competing priorities, and deliver in consulting/contractor-style environments. 
  •  Strong communication skills and the ability to explain technical concepts to technical and non-technical audiences. 
Nice to have
  •  NoSQL experience (MongoDB, Cassandra, DynamoDB). 
  •  Lakehouse architecture familiarity (Delta Lake, Apache Iceberg, Apache Hudi). 
  •  Exposure to governance/catalog tools (Collibra, Alation, Atlan). 
  •  Understanding of data mesh concepts and federated ownership models. 
  •  Experience in regulated domains such as finance, healthcare, or retail. 
Ready to make an impact? Apply now and join us on our journey!

Flexible work from home options available.