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Data Modeler Jobs in Delaware (NOW HIRING)

This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material. Department Overview: The US Financial Crime Risk Modeling ...

Sr. Data Engineer

Wilmington, DE · On-site

$102K - $139K/yr

Perform data analysis, data modeling, and support data governance initiatives * Collaborate cross-functionally with engineering, analytics, and business teams * Ensure data quality, reliability, and ...

Data Engineer

Wilmington, DE · On-site

$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 ...

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

Certified, versioned data products and semantic models, built in partnership with domain owners and stewards, with certification tiers that agents and BI consumers can both trust. * The Asset ...

Manager, Data Science Location: Wilmington, DE (Hybrid) We are seeking a Manager to join our Data ... These models include but are not limited to risk models, direct mail response models, portfolio ...

Manager, Data Science Location: Wilmington, DE (Hybrid) We are seeking a Manager to join our Data ... These models include but are not limited to risk models, direct mail response models, portfolio ...

Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights. * Analyze large and diverse datasets (e.g ...

Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights. * Analyze large and diverse datasets (e.g ...

Data Domain Architect Associate

Wilmington, DE · On-site

$61.75 - $79.50/hr

Must be proficient in one or more data & business intelligence concepts including ETL, Data Modeling, Reporting Automation, and/or Dashboarding. * Self-starter, team player, good communication skills ...

Showing results 21-40

Data Modeler information

See Delaware salary details

$10

$58

$83

How much do data modeler jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data modeler 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 modeler?

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.

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 specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

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?

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 does a data modeler do?

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 Delaware? The most popular types of Data Modeler jobs in Delaware are:
What are popular job titles related to Data Modeler jobs in Delaware? For Data Modeler jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Modeler jobs in Delaware look for? The top searched job categories for Data Modeler jobs in Delaware are:
What cities in Delaware are hiring for Data Modeler jobs? Cities in Delaware with the most Data Modeler job openings:
What are popular job titles related to Data Modeler jobs in DE? For Data Modeler jobs in DE, the most frequently searched job titles are:
Infographic showing various Data Modeler job openings in Delaware as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $122,228 per year, or $58.8 per hour.

Data Scientist III - FCRM Risk Modeling

Td

Wilmington, DE • On-site

$96K - $155K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$96,130 - $155,950 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Analytics, Insights, & Artificial Intelligence

Job Description:

The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.

Department Overview:

The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. We are seeking talented data scientists to join us to innovate, drive, and support initiatives and business as usual operations in multiple functional areas including, but not limited to, customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics, and reporting

Depth & Scope:

  • Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability
  • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
  • Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes
  • Position typically deals with senior/executive management
  • Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
  • Focuses on longer-range planning for functional area (e.g. 12 months or greater)
  • May manage and prioritize multiple projects at a given time

Education & Experience:

  • Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
  • 5+ year of relevant experience; higher degree education and research tenure can be counted

Preferred Skills:

  • Strong foundation in regression, classification, and machine learning models and anomaly detection techniques
  • Proficiency with Python and SQL is a must
  • Experience in Financial Crimes / Compliance Risk Analytics is a plus
  • Hands-on experience with GenAI applications is a strong plus, including but not limited to fine-tuning or prompting LLMs
  • Ability to build analytical solutions using LLM APIs, and use GenAI applications to develop data labeling solutions

Customer Accountabilities:

  • Works closely with business owners to identify opportunities and serves as an ambassador for data science
  • Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions
  • Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
  • Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding
  • Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business

Shareholder Accountabilities:

  • Analytical thought leadership and stays current on developments in data mining and the application of data science
  • Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency
  • Educates the organization on approaches, such as testing hypotheses and statistical validation of result
  • Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment
  • Translates up to date information into continuous improvement activities that enhances performance
  • Adheres to enterprise frameworks or methodologies that relate to activities for business area
  • Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities
  • Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations
  • Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist
  • Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues
  • Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
  • Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
  • Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

Employee/Team Accountabilities:

  • Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest
  • Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit
  • Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques
  • Participates in personal performance management and development activities, including cross training within own team
  • Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities
  • Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
  • Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships
  • Contributes to a fair, positive and equitable environment that supports a diverse workforce
  • Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally

Physical Requirements:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

  • Domestic Travel - Occasional
  • International Travel - Never
  • Performing sedentary work - Continuous
  • Performing multiple tasks - Continuous
  • Operating standard office equipment - Continuous
  • Responding quickly to sounds - Occasional
  • Sitting - Continuous
  • Standing - Occasional
  • Walking - Occasional
  • Moving safely in confined spaces - Occasional
  • Lifting/Carrying (under 25 lbs.) - Occasional
  • Lifting/Carrying (over 25 lbs.) - Never
  • Squatting - Occasional
  • Bending - Occasional
  • Kneeling - Never
  • Crawling - Never
  • Climbing - Never
  • Reaching overhead - Never
  • Reaching forward - Occasional
  • Pushing - Never
  • Pulling - Never
  • Twisting - Never
  • Concentrating for long periods of time - Continuous
  • Applying common sense to deal with problems involving standardized situations - Continuous
  • Reading, writing and comprehending instructions - Continuous
  • Adding, subtracting, multiplying and dividing - Continuous

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

#LI_AMCBCorporate

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package


Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.