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New Grad Data Engineer Jobs in Delaware (NOW HIRING)

Physical Therapist

Millsboro, DE · On-site

$80K - $100K/yr

Structured onboarding for new-grad Physical Therapists and ongoing mentorship * In-house Residency ... data, technology, and innovation to reduce paperwork and give you more time for care. You'll be ...

Physical Therapist

Millsboro, DE · On-site

$80K - $100K/yr

Structured onboarding for new-grad Physical Therapists and ongoing mentorship * In-house Residency ... data, technology, and innovation to reduce paperwork and give you more time for care. You'll be ...

... is motivated by new possibilities, and always up for a challenge. All our dedicated teams ... Required Qualifications Bachelor's degree in software dev, Engineering, Data Analytics, or ...

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

That begins with how we use our science, data, and unmatched technical expertise to develop market ... new technologies possible. In key sectors such as clean energy, advanced electronics, high ...

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Showing results 1-20

New Grad Data Engineer information

See Delaware salary details

$44.5K

$129.8K

$177.7K

How much do new grad data engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for new grad data engineer in Delaware is $129,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $137,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the New Grad Data Engineer position, and why are they important?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

What does the typical day look like for a New Grad Data Engineer?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What is a New Grad Data Engineer job?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What are popular job titles related to New Grad Data Engineer jobs in Delaware? For New Grad Data Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching New Grad Data Engineer jobs in Delaware look for? The top searched job categories for New Grad Data Engineer jobs in Delaware are:
What cities in Delaware are hiring for New Grad Data Engineer jobs? Cities in Delaware with the most New Grad Data Engineer job openings:
Infographic showing various New Grad Data Engineer job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $129,828 per year, or $62.4 per hour.
Data Scientist - Anti-Money Laundering Analytics & Modeling

Data Scientist - Anti-Money Laundering Analytics & Modeling

PNC Bank

Wilmington, DE

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 343 frontline employees who took The Breakroom Quiz

81st of 150 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling organization, you will be based in Pittsburgh, or Philadelphia, PA; Wilmington, DE, Cleveland, OH; Charlotte, NC; Austin, TX; or Washington, DC.
Job Summary:
As a Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm's account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies.
You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models.
Specific responsibilities for this role include (but are not limited to):
Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets
Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation
Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts
Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders
Preferred experience/qualifications:
Master's degree or higher in a quantitative field
Experience with data mining and data preparation for ML models
Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling
Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms
Strong programming skills in Python, PySpark, R, and/or SQL
Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model
Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems
Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners
Ability to manage multiple projects simultaneously
Strong teamwork skills and ability to work across different departments
Additional preferred qualifications:
Experience in banking/ financial services
Experience with anti-fraud and/or anti-money laundering modeling
Hands-on experience building various types of AI/ML models, including neural networks
Experience with cloud platforms like AWS, Google Cloud, or AzurePNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
  • Participates in the data gathering, data processing and data mining of large and complex datasets.
  • Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
  • Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.
  • May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationMastersCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $86,250.00 - $172,500.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 06/26/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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