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Data Modeling Jobs in Newark, DE (NOW HIRING)

Serigor, Inc.

Senior Data Engineer (Hybrid)

Wilmington, DE · On-site

$102K - $139K/yr

Design and implement Snowflake database structures, schemas, and data models. * Migrate enterprise data assets from multiple source systems into Snowflake. * Build, enhance, and maintain ETL/ELT ...

Dlapiper

Data Engineer

Wilmington, DE

$111K - $133K/yr

Collaboration & Delivery (Agile Pod Model) * Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based ...

Iff

AI & Data Scientist

Wilmington, DE · On-site

Strong expertise in data architecture, data modeling and modern data science methodologies. * Advanced proficiency in Python, SQL and data integration, transformation and automation tools.

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All JobsData Modeling JobsData Modeling Jobs in Newark, DE

Data Modeling information

See Newark, DE salary details

$10

$57

$81

How much do data modeling jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data modeling in Newark, DE is $57.40, according to ZipRecruiter salary data. Most workers in this role earn between $51.49 and $66.73 per hour, depending on experience, location, and employer.

What is a data modeling?

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 the key skills and qualifications needed to thrive in data modeling, 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.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.

What are popular job titles related to Data Modeling jobs in Newark, DE?

For Data Modeling jobs in Newark, DE, the most frequently searched job titles are:

What job categories do people searching Data Modeling jobs in Newark, DE look for?

The top searched job categories for Data Modeling jobs in Newark, DE are:

Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Newark, DE as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $119,392 per year, or $57.4 per hour.

Senior Data & Enterprise Architect (DoDAF/Cloud/Data Integration)

BryceTech

Aberdeen Proving Ground, MD • On-site

$72 - $96.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago

Key responsibilities

  • Develop and maintain DoDAF v2.0 and UAF architecture products supporting the Biosurveillance Information Platform

  • Map operational, systems, and technical architecture views that define how new data sources integrate into the platform

  • Design end-to-end data ingestion pipelines and information flows from various data providers

Job description

Company Description

BryceTech is a trusted leader in complex technology domains, delivering data-driven solutions in aerospace, biosecurity, and defense. We specialize in systems engineering, advanced analytics, R&D programs, and strategic advisory support. Our clients - including NASA, DoD, HHS, DHS, and other civil and national security agencies - rely on us to drive mission success and accelerate innovation.


BryceTech has been recognized in the Washington Technology Fast 50 ranking of top high-growth small businesses for five consecutive years and received a GovCon Contractor of the Year Award in 2025, underscoring our strong growth, competitive positioning, and excellence in federal contracting. With a proven track record of winning sought-after contracts, scaling high-performance teams, and executing on critical government missions, BryceTech presents a compelling opportunity for strategic partnerships in the GovCon space.

Job Description

BryceTech is seeking a Senior Data & Enterprise Architect to support the Capability Program Executive for Chemical, Biological, Radiological and Nuclear Defense (CPE CBRND) and the Biosurveillance Information Platform (BIP).

This position will play a critical role in designing the enterprise architecture that enables real-time integration of biological threat information across DoD, interagency, intelligence, and public health systems. Working directly with the Assistant Program Manager (APM), the successful candidate will transform identified capability needs into actionable architectural products, data integration strategies, and technical guidance that software development teams can immediately execute.

This is a hands-on technical leadership role requiring deep expertise in enterprise architecture, cloud-based data platforms, system integration, and defense information systems.

Key Responsibilities

  • Develop and maintain DoDAF v2.0 and UAF architecture products supporting the Biosurveillance Information Platform
  • Map operational, systems, and technical architecture views that define how new data sources integrate into the platform
  • Design end-to-end data ingestion pipelines and information flows from DoD, intelligence, federal, commercial, and open-source data providers
  • Define enterprise data architecture standards, interface specifications, and technical guidance for external software development vendors
  • Establish scalable integration strategies that support future onboarding of additional data sources without creating new data silos
  • Design logical and physical data models supporting structured, semi-structured, and unstructured data
  • Collaborate with engineers, developers, data scientists, cybersecurity specialists, and government stakeholders to ensure architectural alignment across the program
  • Support cloud-native architecture utilizing Azure, AWS, or Google Cloud Platform services
  • Develop enterprise data governance standards supporting interoperability, metadata management, and information quality
  • Ensure architectural solutions align with DoD cybersecurity requirements, Zero Trust principles, and applicable compliance frameworks
  • Support acquisition planning, technical reviews, design reviews, and vendor oversight activities
  • Provide architectural leadership supporting advanced analytics, artificial intelligence, and machine learning initiatives through scalable data design
Qualifications

Required Qualifications

  • Bachelor's degree in computer science, information systems, engineering, data science, or related technical field
  • 12+ years of experience supporting enterprise architecture, systems engineering, or enterprise information systems
  • Extensive experience developing DoDAF v2.0 architecture products within DoD acquisition programs
  • Demonstrated experience designing enterprise data architectures supporting complex, multi-domain environments
  • Experience integrating heterogeneous data sources across government organizations
  • Strong knowledge of relational databases, NoSQL technologies, data warehousing, and enterprise data modeling
  • Experience designing ETL/ELT pipelines and enterprise data integration strategies
  • Strong SQL skills
  • Experience with enterprise architecture modeling tools such as Cameo, MagicDraw, Sparx EA, or similar
  • Experience supporting cloud environments including Azure, AWS, or Google Cloud Platform
  • Understanding of APIs, enterprise integration patterns, and distributed systems
  • Knowledge of DoD cybersecurity policies, Zero Trust architecture, and secure data management
  • Excellent communication and technical leadership skills
  • Ability to obtain a DoD Secret Clearance 

Preferred Qualifications

  • Experience supporting CPE-CBRND or other DoD medical, health, or biosurveillance programs

  • Experience with Hadoop, Spark, or other big data technologies
  • Experience supporting AI/ML-enabled data platforms
  • Knowledge of health surveillance, intelligence, or public health information systems
  • Experience with Agile software development and DevSecOps environments
  • Master's degree in a technical discipline
Additional Information

BryceTech offers a full range of benefits, including competitive salary, a comprehensive health plan including dental and vision coverage, company-paid life & disability insurance policies, 401(k) plan with company match, and an educational reimbursement program.

All your information will be kept confidential according to EEO guidelines.

Apply