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Senior Data Integration Developer Jobs in Delaware

SLK America Inc.

.net Senior developer

Wilmington, DE · On-site

$52.75 - $69.75/hr

Senior .NET Full Stack Developer emphasizing backend for platform integrations and payments ... data and ensuring PCI-DSS compliance. * Manage CI/CD via Azure DevOps, Docker/Kubernetes ...

M&T Bank

Senior Business Data Consultant

Wilmington, DE · Hybrid

$123K - $206K/yr

In alignment with IS's growing investment, we are seeking an IS Senior Data Management Lead ... programming knowledge Education and Experience Preferred: Master's Degree Minimum of 10 year ...

ICONMA

Senior VC++ MFC Developer

Wilmington, DE · On-site

$53 - $69.75/hr

... Integrate VC plus plus MFC applications with databases, services, and legacy systems by ... efficient data access layers, validation mechanisms, and error handling strategies. • Create ...

QPS, LLC

Senior Specialist, Data Management

Newark, DE · On-site

$50K - $54K/yr

As a Senior Data Management Specialist , you will be a key contributor to the smooth operations of ... Via spreadsheets and programming, our team transforms and modifies the data in a client preferred ...

Agilent

Advanced Data Analyst

Wilmington, DE · On-site +1

$74K - $139K/yr

Collaborate across IT, data engineering, and business teams to align on data architecture and ... Understanding of enterprise data systems (e.g., SAP, CRM) and data integration concepts. * Strong ...

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How much do senior data integration developer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for senior data integration developer in Delaware is $61.46, according to ZipRecruiter salary data. Most workers in this role earn between $53.65 and $68.32 per hour, depending on experience, location, and employer.

What are some common challenges Senior Data Integration Developers face when working on large-scale projects?

Senior Data Integration Developers often encounter challenges related to managing complex data sources, ensuring data quality, and maintaining system performance as data volumes grow. Coordinating across multiple teams, such as database administrators, data architects, and business analysts, requires excellent communication and project management skills. Additionally, adapting to evolving technology stacks and integrating new tools can add complexity, making it essential to stay updated on industry best practices. Overcoming these challenges is key to delivering reliable, scalable integration solutions.

What are Senior Data Integration Developers?

Senior Data Integration Developers are experienced IT professionals who design, develop, and maintain data integration solutions across multiple systems and platforms. They are responsible for ensuring that data from various sources is accurately collected, transformed, and loaded (ETL) to support business intelligence, analytics, and operational needs. In addition to technical expertise in data integration tools and programming, they often lead projects, mentor junior developers, and collaborate with stakeholders to optimize data workflows. Their work is critical for enabling organizations to leverage data for informed decision-making.

What are the key skills and qualifications needed to thrive as a Senior Data Integration Developer, and why are they important?

To thrive as a Senior Data Integration Developer, you need strong expertise in data modeling, ETL processes, SQL, and a solid understanding of database architectures, typically backed by a degree in computer science or a related field. Familiarity with integration tools such as Informatica, Talend, Microsoft SSIS, and relevant certifications are highly valuable. Exceptional problem-solving, communication, and project management skills set top performers apart in this role. These skills ensure efficient, reliable data flow across systems, supporting organizational decision-making and operational effectiveness.
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Senior Data Integration Developer jobs near you
Data Science Senior Associate - Card Data & Analytics team

Data Science Senior Associate - Card Data & Analytics team

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 5 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

60th of 150 rated banks

Job description


As a Data Science Senior Associate in the Card Data & Analytics team, you will develop AI/ML solutions that drive the bottom line for our Credit Card business. You will utilize your skills in data analytics, consulting, and programming to support strategic initiatives and deliver actionable insights. Collaborate with partners across the Card business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies.
Job Responsibilities:
  • Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
  • Drive data science and analytics strategies, including recommendations on analytical products and standards.
  • Help partners define business problems and scope analytical solutions.
  • Build an understanding of problem domains and available data assets.
  • Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.
  • Perform exploratory statistics and data mining tasks on diverse datasets.
  • Communicate findings and obstacles to stakeholders to drive delivery to market.
  • Develop subject matter expertise in financial and operational domains.
  • Code solutions with strong programming skills.
  • Collaborate across teams to deliver the best solutions for clients.

Required Qualifications, Capabilities, and Skills:
  • Bachelor's degree in a relevant quantitative field and 3+ years of data analytics experience, or advanced degree and 2+ years of experience.
  • Exceptional analytical, quantitative, problem-solving, and communication skills.
  • Intellectual curiosity for solving business problems.
  • Leadership and collaboration skills.
  • Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
  • Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).
  • Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
  • Ability to convey complex information to technical and non-technical audiences.

Preferred Qualifications, Capabilities, and Skills:
  • Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.
  • Understanding of key drivers within the credit card P&L.
  • Financial services background preferred.
  • M.S. degree or equivalent.

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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