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Senior Sql Data Engineer Jobs in Delaware (NOW HIRING)

Sr. Software Engineer

Newark, DE · On-site

$120K - $159K/yr

POSITION TITLE: Sr. Software Engineer POSITION DUTIES: Analyze business user needs, design, develop ... SQL, Kubernetes, Visual Studio, Apache Tomcat, JBoss, HTML, CSS, and create reports, and other ...

Sr. Software Engineer

Newark, DE · On-site

$120K - $159K/yr

POSITION TITLE: Sr. Software Engineer POSITION DUTIES: Analyze business user needs, design, develop ... SQL, Kubernetes, Visual Studio, Apache Tomcat, JBoss, HTML, CSS, and create reports, and other ...

Sr. Software Engineer

Newark, DE · On-site

$120K - $159K/yr

POSITION TITLE: Sr. Software Engineer POSITION DUTIES: Analyze business user needs, design, develop ... SQL, Kubernetes, Visual Studio, Apache Tomcat, JBoss, HTML, CSS, and create reports, and other ...

Senior BigData Engineer

Wilmington, DE

$102K - $139K/yr

Senior BigData Engineer Location: Wilmington, DE Duration: Multi-Year Contract * Will join a ... Big data tools: Hadoop, ApacheSpark, Kafka, etc. * Relational SQL, Snowflake andNoSQL databases ...

Use SQL, Snowflake, Power BI, and related tools to analyze data, validate governance controls, and ... Data Quality Engineering * Profile enterprise data to assess quality, identify risks, establish ...

Use SQL, Snowflake, Power BI, and related tools to analyze data, validate governance controls, and ... Data Quality Engineering * Profile enterprise data to assess quality, identify risks, establish ...

Showing results 41-60

Senior Sql Data Engineer information

What is a senior SQL data engineer?

Senior SQL Data Engineers are experienced professionals who design, develop, and maintain databases using SQL and related technologies. They are responsible for ensuring data is stored efficiently, securely, and is easily accessible for analysis and reporting. In addition to writing advanced SQL queries, they often optimize database performance, manage data integration processes, and collaborate with other IT and business teams to support data-driven decision making. Their role may also involve mentoring junior engineers and implementing best practices for data management.

How does a senior SQL data engineer typically collaborate with data analysts and other stakeholders in an organization?

Senior SQL Data Engineers work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver robust data solutions. They often participate in requirements-gathering sessions, translate business needs into technical specifications, and design or optimize SQL queries, data models, and ETL processes. Effective communication is key, as they must explain complex technical concepts to non-technical team members and ensure data solutions align with business objectives. This collaboration helps ensure the integrity, availability, and usability of data across the organization.

What are the key skills and qualifications needed to thrive as a senior SQL data engineer, and why are they important?

To thrive as a Senior SQL Data Engineer, you need advanced SQL programming skills, strong database design expertise, and experience with data modeling, often supported by a degree in computer science or a related field. Familiarity with database management systems like Microsoft SQL Server, Oracle, or PostgreSQL, ETL tools, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data issues. These skills ensure the efficient management, integrity, and accessibility of data systems that drive business insights and operations.

What is the difference between Senior Sql Data Engineer vs Data Analyst?

AspectSenior Sql Data EngineerData Analyst
Required SkillsSQL, ETL, data warehousing, scripting, database managementSQL, data visualization, statistical analysis, reporting
Work EnvironmentData engineering teams, backend systems, large-scale data infrastructureBusiness units, reporting teams, data visualization tools
CertificationsSQL certifications, cloud platform credentials (AWS, Azure)Data analysis certifications (CAP, Microsoft Certified Data Analyst)

Senior Sql Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data and generate reports. Both roles require SQL expertise but differ in scope and tools used, with engineers handling data architecture and analysts focusing on insights and visualization.

What are popular job titles related to Senior Sql Data Engineer jobs in Delaware?

For Senior Sql Data Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Senior Sql Data Engineer jobs in Delaware look for?

The top searched job categories for Senior Sql Data Engineer jobs in Delaware are:

What cities in Delaware are hiring for Senior Sql Data Engineer jobs?

Cities in Delaware with the most Senior Sql Data Engineer job openings:

Senior Data Scientist - Marketing & Customer Analytics

PNC Bank

Wilmington, DE

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


PNC Bank rating

7.8

Company rating: 7.8 out of 10

Based on 347 frontline employees who took The Breakroom Quiz

89th of 171 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 Senior Data Scientist within PNC's Data, Modeling & Analytics organization specifically within our Marketing & Customer Analytics group, you will be based in Pittsburgh, PA, Tysons Corner or Vienna, VA or Wilmington, DE.
The Senior Data Scientist - Marketing Valuations will play a critical role in accelerating profitable growth by developing, scaling, and applying valuation analytics and statistical models to enable decisionmaking across marketing strategies.
This role focuses on translating customer, offer, and channel economics into actionable valuation frameworks that inform prioritization, optimization, and investment decisions.
The ideal candidate combines expertise in statistical modeling and advanced analytics with business acumen to deliver analytical solutions for Marketing Valuations.
Key Responsibilities:
Valuation model development & Financial Forecasting: Design and develop valuation and forecasting models such as: Net Present Values, Customer Lifetime Value and Offer Economics to guide marketing budget optimization and investment decisions.
Apply advanced statistical and causal modeling to quantify incremental impact, uncertainty and trade-offs.
Strategic Decision Support: Analyze large datasets to understand customer behavior and translate insights into clear business cases with measurable outcomes.
End-to-End Analytical Ownership: Own the full analytical lifecycle, from problem framing and data exploration to model development and validation.
Cross-functional collaboration: Partners with marketing strategy, finance, and data teams to drive adoption of valuation outputs, advise on their application, and present findings clearly to senior executives to support strategic decisions.
Preferred Skills and Experience:
Advanced degree in a quantitative field (e.g., mathematics, statistics, economics etc.) is preferred.
Progressive experience in data science, advanced analytics, or quantitative modeling, preferably in financial services or marketing analytics.
Demonstrated expertise in marketing valuation concepts, including customer lifetime value, incremental or causal value and offer or channel economics.
Intermediate proficiency in Python and SQL. Knowledge of cloud platforms and big data technologies (Spark, Hadoop).
Excellent communication skills with the ability to explain complex approaches to non-technical and executive stakeholders.
Strong attention to detail.PNC 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
  • Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
  • Directs the data gathering, data processing and data mining of large and complex datasets.
  • Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
  • Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.
  • Partners 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 5+ years of industry-relevant experience. Specific certifications are often required. 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: $100,100.00 - $185,900.00Salaries 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 04/09/2026, 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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