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Senior Data Integration Developer Jobs in Delaware

Senior Power BI Developer Hybrid - Newark, DE Your role in our success will be: The Senior Power BI ... Integrate and transform data from multiple complex sources including SQL Server, Azure SQL ...

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 ...

TM1 / IBM / Software Engineer III

Wilmington, DE · On-site

$55.75 - $75/hr

... data integration from multiple source systems into TM1 environments • Optimize application performance through tuning of rules, processes, and cube structures • Troubleshoot technical issues and ...

As a member of the Information Services Department, the Senior Web Developer is responsible for ... Integrate data from back-end services and databases. * Ensure security through firewalls, login ...

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Showing results 1-20

Senior Data Integration Developer information

See Delaware salary details

$44

$61

$71

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

As of May 30, 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 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.

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.
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Finance Data Mart - Domain Data Architect

JPMorganChase

Wilmington, DE • On-site

Full-time

Posted 7 days ago


Job description

Job Summary:
JPMorganChase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals. As a Domain Data Architect Lead within the Finance Data Mart team, you will partner with Technology and Product teams to design and deliver data domains using Databricks, supporting business needs across various financial sectors.
Responsibilities:
• Implement and optimize the Finance Data Mart using Databricks and ThoughtSpot for analytics and reporting
• Design efficient data mart schemas consolidating key data categories from multiple source systems
• Collaborate with data engineers, analysts, and technical specialists to gather and analyze business requirements
• Develop and optimize ETL processes and data pipelines using Databricks
• Partner with Area Product teams and stakeholders to design reporting and analytics solutions and support the Finance function across diverse business areas
• Apply design-led thinking to make data discoverable and accessible for analytical needs
• Maintain documentation on data mart architecture, data models, ETL processes, and governance policies
Qualifications:
Required:
• Minimum seven years of experience in data architecture, data warehousing, and data integration in financial services
• Bachelor’s degree in Computer Science, Information Systems, or related discipline
• Expertise in designing scalable data mart architectures, including star and snowflake schemas
• Strong knowledge of data management, data lineage, and data dictionaries
• Proven track record in managing and delivering complex data projects
• Strong written and verbal communication skills
• Proficiency in SQL, Data Modeling, and ERWIN
Preferred:
• Strong knowledge of Amazon Web Services; AWS Certifications preferred
• Experience with Databricks, Snowflake, or other cloud data warehouses
• Experience with market-leading data catalog systems
• Experience with ThoughtSpot, Sigma, Tableau, Alteryx, or Essbase a plus
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.