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Full Time Remote Data Modeler Jobs in Philadelphia, PA

Dlapiper

Data Scientist

Wilmington, DE · On-site +1

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 ...

New

Dlapiper

Data Scientist

Philadelphia, PA · On-site +1

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 ...

New

Ivy Rehab Network

Associate Data Scientist

Philadelphia, PA · On-site +1

$59K - $60K/yr

Ability to clearly present findings and data models using visualization tools such as Power BI ... Hybrid and remote work flexibility. * Empowering Values: Live by values that prioritize teamwork ...

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All JobsData Modeler JobsFull Time Remote Data Modeler JobsFull Time Remote Data Modeler Jobs in Philadelphia, PA

Full Time Remote Data Modeler information

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$59

$83

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

As of Aug 22, 2026, the average hourly pay for full time remote data modeler in Philadelphia, PA is $59.25, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $68.89 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 Philadelphia, PA?

The most popular types of Remote Data Modeler jobs in Philadelphia, PA are:

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

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

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

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

What cities near Philadelphia, PA are hiring for Full Time Remote Data Modeler jobs?

Cities near Philadelphia, PA with the most Full Time Remote Data Modeler job openings:

Full Time Remote Data Modeler jobs near you

Data Architect- Payer (Healthcare) || Fulltime || Remote

Smart IT Frame

Philadelphia, PA • Remote

$65.25 - $84/hr

Full-time

Re-posted 4 days ago

Job description

 
Role: - Data Architect- Payer (Healthcare)
 
Location: - Philadelphia PA/ Remote 
 
Fulltime 
 

Job Description: -

·       Overall 14+ years of Azure & Data Engineering experience

·       Design and develop cloud-native applications and services using modern architecture patterns.

·       Collaborate with product managers, developers, and other stakeholders to define application requirements and specifications.

·       Strong hands-on experience in Database design, ETL with primary skills on Azure Databricks - Build data Pipelines using ADB - leveraging Python and PySpark, ADF: Azure Data Factory, Azure Data Lake Gen 2, Synapse Analytics.

·       Good experience and knowledge in scripting languages such as Python, PySpark, Spark SQL or Shell Scripting, etc.

·       In-depth understanding of various storage services offered by Azure and TIDAL Scheduler.

·       Experience with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments.

·       Experience with data process Orchestration, end-to-end design and build process of Near-Real Time and Batch Data Pipelines.

·       Minimum 3 years of real project experience.

·       Manage/Mentor tech team members.

·       Evaluate and recommend cloud technologies and tools to enhance application performance and reliability.

·       Lead the migration of existing applications to cloud environments, ensuring minimal disruption and optimal performance.

·       Implement best practices for cloud security, compliance, and governance.

·       Monitor and optimize application performance, scalability, and cost-efficiency in cloud environments.

·       Provide technical leadership and mentorship to development teams, fostering a culture of innovation and continuous improvement.

·       Stay current with emerging cloud technologies and trends, and assess their potential impact on our architecture and applications.

·       Provide Technical Assistance, Problem Resolution and Troubleshooting Support.

·       Document architectural designs, standards, and guidelines for cloud application development.

·       Good understanding of the functional domain especially Healthcare domain and Tidal Scheduler.

·       Good understanding of the SDLC and Agile methodologies.

·       Good communication and soft skills.

Qualifications:

·       Bachelor’s degree in computer science, Information Technology, or a related field; Master’s degree preferred.

·       Proven experience as a Cloud Application Architect or in a similar role, with a strong portfolio of successful cloud projects.

·       In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and their services.

·       Proficiency in programming languages such as Java, Python, or C# and experience with microservices architecture.

·       Familiarity with containerization technologies (Docker, Kubernetes) and serverless computing.

·       Strong understanding of cloud security best practices and compliance requirements.

·       Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

·       Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

·       Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).

·       Experience with DevOps practices and CI/CD pipelines.

·       Knowledge of database technologies (SQL, NoSQL) and data architecture principles.