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Data Modeling Jobs in Delaware (NOW HIRING)

Continental Finance

Data Scientist

Wilmington, DE · Hybrid

The Data Scientist is responsible for the development of models, strategies, and operational guidelines for the organization's various credit card products as they relate to the analysis, tracking ...

Prophecy Technologies

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Design and implement data models for structured and unstructured data, and contribute to the overall data architecture strategy within an AWS environment. * Work closely with data scientists ...

Purple Drive Technologies

DataArchitect

Wilmington, DE · On-site

$61.75 - $79.50/hr

Proficiency in SQL, relational databases (Oracle, SQL Server, DB2), and data modeling. Credit Card Systems: Familiarity with major credit card processing platforms (e.g., TSYS, FIS, First Data, etc.

Purple Drive Technologies

DataArchitect

Wilmington, DE · On-site

$61.75 - $79.50/hr

Proficiency in SQL, relational databases (Oracle, SQL Server, DB2), and data modeling. Credit Card Systems: Familiarity with major credit card processing platforms (e.g., TSYS, FIS, First Data, etc.

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How much do data modeling jobs pay per hour?

As of May 31, 2026, the average hourly pay for data modeling in Delaware is $58.76, according to ZipRecruiter salary data. Most workers in this role earn between $52.69 and $68.32 per hour, depending on experience, location, and employer.

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 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 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 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.
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Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Delaware as of May 2026, with employment types broken down into 2% Internship, 75% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $122,228 per year, or $58.8 per hour.

Data Transformation ETL Specialist

4C Digital Health

Wilmington, DE • On-site

Full-time

Posted 21 days ago

Job description

Our mission is to transform complex, raw medical data into a standardized, usable ETL data model that powers advanced analytics and drives clinical scoring. We are seeking a highly analytical and business-minded Data Transformation & Reporting Analyst to lead the transformation and final quality assessment of incoming data, ensuring it aligns perfectly with our standardized model. This role is crucial for maximizing the accuracy of our scoring engines, directly enhancing data quality, and contributing to significant revenue growth.


Overview

Our mission is to transform complex, raw medical data into a standardized, usable ETL data model that powers advanced analytics and drives clinical scoring. We are seeking a highly analytical and business-minded Data Transformation & Reporting Analyst to lead the transformation and final quality assessment of incoming data, ensuring it aligns perfectly with our standardized model. This role is crucial for maximizing the accuracy of our scoring engines, directly enhancing data quality, and contributing to significant revenue growth.

Core Responsibilities

Data Model & Transformation Leadership

  • Source-to-Target Mapping: Lead the analysis and creation of source-to-target data mappings for new and existing raw data feeds, with a heavy emphasis on complex medical claims.
  • Continuous Improvement: Proactively analyze raw data to identify inconsistencies and gaps in current transformation logic. Design and recommend improvements to mapping rules that enhance the robustness and completeness of the data model.
  • Data Validation: Design and execute robust data quality checks and acceptance testing on the transformed data, ensuring high integrity and clinical/business logic alignment before final loading.

Reporting, Insights & Stakeholder Support

  • Business Reporting: Develop, maintain, and execute complex ad-hoc queries and standard reports for internal business teams (e.g., Operations, Customer Success) related to data collection, usage, and quality metrics.
  • Business Acumen & Translation: Serve as the functional expert on the standardized data model, translating complex clinical and operational questions from non-technical stakeholders into efficient data queries and consumable insights.
  • Documentation & Governance: Develop and maintain consumer-facing documentation for the standardized model, including data dictionaries and business definitions, to drive correct interpretation and use across the organization.

Required Qualifications

  • Experience: 3+ years of experience in data analysis, ETL development, or reporting, specifically within the healthcare, payer, or provider domains.
  • Technical Expertise: Expert proficiency in SQL for data analysis, complex querying, and validation.
  • Industry Knowledge: Working knowledge of medical claims data structures, terminology, and workflows (e.g., experience with claims, utilization data, eligibility).
  • ETL/Data Warehousing: Proven understanding of ETL/ELT processes and data warehousing concepts.
  • Reporting Tools: Experience creating professional dashboards and reports using BI platforms (e.g., Tableau, Power BI).
  • Soft Skills: Excellent verbal and written communication skills with a proven ability to bridge the gap between technical data and business objectives.

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