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Full Time Remote Data Modeler Jobs in Seattle, WA

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Senior Data Analyst (Remote)

Redmond, WA · Remote

$96K - $121K/yr

Expert knowledge of data modeling concepts; experience with data modeling and generating metadata to support relational & non-relational database implementations; experience building logical and ...

... model performance gains. This is a full-time position (W2 or 1099 is fine). You would be employed ... This is a remote position (Washington candidates preferred). What You'll Do * Conduct market and ...

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Full Time Remote Data Modeler information

See Seattle, WA salary details

$11

$66

$94

How much do full time remote data modeler jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for full time remote 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 is a full time remote data modeler?

Full Time Remote Data Modelers are professionals who design, create, and maintain data models for organizations while working from a remote location. Their main responsibility is to structure and organize data so it can be efficiently stored, accessed, and analyzed, often collaborating with data engineers, analysts, and other IT staff. Working full time means they typically work a standard 40-hour week, and since the role is remote, all communication and collaboration are done virtually. These professionals are essential for organizations that rely heavily on data-driven decision making and need robust data infrastructure. They often use tools like ERwin, SQL, or PowerDesigner and are skilled in database management and programming.

What are the key skills and qualifications needed to thrive as a full time remote data modeler?

To thrive as a Full Time Remote Data Modeler, you need expertise in database design, data modeling concepts (such as ER diagrams and normalization), and a degree in computer science or a related field. Familiarity with data modeling tools (like ER/Studio, Erwin, or SQL-based platforms) and experience with cloud databases are commonly required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborating with distributed teams. These skills are crucial for ensuring accurate data structures, efficient data flow, and seamless integration in complex, remote-driven projects.

How do full time remote data modelers typically collaborate with distributed teams to ensure data consistency and project alignment?

Full Time Remote Data Modelers usually work closely with other data professionals, such as data engineers, analysts, and business stakeholders, using collaborative tools like shared documentation, version control systems, and virtual meetings. Clear communication and regular sync-ups are essential to ensure everyone understands the data models and that standards are consistently applied across projects. These professionals often participate in daily stand-ups, design reviews, and cross-functional team discussions to address challenges, clarify requirements, and maintain alignment with business goals. Remote work requires proactive communication and a disciplined approach to documentation to avoid misinterpretations and ensure data integrity.

What is the difference between Full Time Remote Data Modeler vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ModelerFull Time Remote Data Analyst
Primary RoleDesigns and develops data models and database structuresAnalyzes data to generate reports and insights
Required SkillsData modeling, database design, SQL, data warehousingData analysis, visualization, SQL, statistical tools
Work EnvironmentRemote, often collaborating with data engineers and architectsRemote, working with business teams and stakeholders
Common CertificationsCDMP, CBIP, Microsoft Certified Data AnalystMicrosoft Certified Data Analyst, SAS, Tableau certifications

While both roles work remotely and require SQL and data skills, a Full Time Remote Data Modeler focuses on designing data structures, whereas a Full Time Remote Data Analyst interprets data to support business decisions. They complement each other but serve different functions within data teams.

What are the most commonly searched types of Remote Data Modeler jobs in Seattle, WA?

The most popular types of Remote Data Modeler jobs in Seattle, WA are:

What are popular job titles related to Full Time Remote Data Modeler jobs in Seattle, WA?

For Full Time Remote Data Modeler jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Full Time Remote Data Modeler jobs in Seattle, WA look for?

The top searched job categories for Full Time Remote Data Modeler jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Full Time Remote Data Modeler jobs?

Cities near Seattle, WA with the most Full Time Remote Data Modeler job openings:

Azure Fabric Data Engineer in Bellevue, WA (Fulltime, Remote)

Bellevue, WA • Remote

$117K - $140K/yr

Full-time

Posted 19 days ago


Job description

Azure Fabric Data Engineer
Bellevue, WA (Remote)
Fulltime
 
Must Have Technical/Functional Skills
Digital : PySpark; Data Warehouse; Data Concepts & Data Modelling; Digital : Big Data Platforms; Data Engineering; Azure Data Factory; Continuous Integration and Continuous Delivery (CI/CD); Communication Skills and Cross Team Collaboration Skills; Azure DevOps;  Git; Advanced SQL
 
Roles & Responsibilities
• Collaborate with business stakeholders to understand data, analytics, and reporting requirements and translate them into scalable technical solutions. 
• Design and develop end-to-end data solutions using Microsoft Fabric, ADF, OneLake, Lakehouse, and Data Warehouse, including scalable data pipelines using PySpark and SQL and Medallion Architecture (Bronze, Silver, Gold) with Delta Tables.
• Build and optimize Lakehouse and Data Warehouse solutions for reporting, analytics, and AI workloads. 
• Define data models, data quality standards, governance, security and performance optimization strategies. 
• Provide technical consulting and best practices for Microsoft Fabric adoption, migration, and modernization initiatives. 
• Design and implement customer data platform (CDP) solutions including customer profile unification, identity resolution, audience segmentation and real-time data activation using Hightouch and Braze. 
• Collaborate with cross-functional teams, including data engineers, architects, analysts, and business stakeholders to deliver high-quality data solutions. 
• Support CI/CD implementation, code reviews, testing, deployment, and production support using Azure DevOps and Git. 
• Prepare technical documentation, solution designs and implementation guidelines. 
• Stay current with Microsoft Fabric, Azure data technologies, and industry best practices to drive continuous innovation.
Generic Managerial Skills, If any
Hightouch;  Braze; Customer Data Platforms (CDP); Digital : Microsoft Power BI; PL/SQL;   Microsoft Power BI; Prior Experience with Threat Modelling and SDL Assessments
 
Specific Requirement 
Heavy customer facing experience. 
Should be able to work in agile manner with the customer & stakeholders. 
• Strong analytical skills 
• Excellent troubleshooting and problem-solving skills 
• Ability to work in a fast paced, agile environment 
• Experience working within a geographically dispersed team and flexibility for coordinating between teams. 
• Excellent Communication skills, communicate effectively and proactively with partner teams in order to solve problems 
• Good Presentation Skills