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Senior Data Integration Developer Jobs in Delaware

Dlapiper

Sr Data Analyst

Wilmington, DE · Hybrid

$89.99K - $143.09K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming ...

Tiger Analytics Inc.

Senior Data Engineer

Wilmington, DE · On-site

$102.90K - $139.70K/yr

We are seeking Data Engineers who are passionate about marrying data with emerging technologies. Requirements * Collaborate with and across Agile teams to design, develop, test, implement, and ...

Tiger Analytics Inc.

Senior Data Engineer

Wilmington, DE · On-site

$102.90K - $139.70K/yr

We are seeking Data Engineers who are passionate about marrying data with emerging technologies. Requirements * Collaborate with and across Agile teams to design, develop, test, implement, and ...

System One

EDI Integration Engineer II

Blades, DE

$97.90K - $131.80K/yr

The EDI Integrations Engineer II will also directly contribute along with senior staff and ... Diagnose and resolve complex EDI processing errors, integration failures, and data discrepancies.

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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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Senior Data Integration Developer jobs near you
Data Engineer (Short-Term Engagement)

Data Engineer (Short-Term Engagement)

Serverless Guru

Wilmington, DE • On-site, Remote

$111.10K - $133.40K/yr

Temporary

Posted 10 days ago

Job description

We are looking for 5+ years of overall data engineering experience, with expert-level hands-on experience in CData, Snowflake, and Looker schema development. As a senior data engineer, you will bring best practices for modern data architecture, data modeling, and analytics enablement, helping ensure that data pipelines and reporting layers are performant, scalable, and easy for business users to consume. Your expertise in data integration and modeling will be critical to the success of this short-term engagement and will directly impact the client's ability to make data-driven decisions.
About the Role
As a Data Engineer, you will work closely with technical and business teams to build and optimize data pipelines and analytics layers. You will be responsible for integrating multiple data sources using CData, transforming and modeling data within Snowflake, and creating structured, scalable Looker schemas to support reporting and insights.
Key Responsibilities
  • Design, build, and optimize data pipelines using CData connectors
  • Ingest and transform data into Snowflake for analytics and reporting
  • Develop and maintain scalable data models within Snowflake
  • Build and optimize Looker schemas (LookML) for business intelligence use cases
  • Ensure data quality, consistency, and reliability across systems
  • Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions
  • Troubleshoot and resolve data pipeline and modeling issues
  • Implement best practices for data governance, performance optimization, and scalability

Required Skills & Experience
  • 5+ years of overall data engineering experience
  • Expert-level experience with CData (connectors, integrations, and data ingestion)
  • Strong expertise in Snowflake (data modeling, performance tuning, ETL/ELT)
  • Extensive experience building Looker schemas (LookML)
  • Strong SQL skills and experience working with large datasets
  • Experience designing and implementing end-to-end data pipelines
  • Familiarity with data integration patterns and best practices
  • Experience working in Agile development environments
  • Strong problem-solving and communication skills

Preferred Qualifications
  • Experience with BI tools beyond Looker
  • Familiarity with modern data stack tools
  • Experience with data governance and data quality frameworks
  • Exposure to cloud-based data ecosystems
  • Experience with manufacturing or distribution data (nice to have)

Engagement Details
  • Duration: 4-5 weeks (40 hrs/week)
  • Timezone: EST
  • Client industry: manufacturing and distribution (related industry experience not required; the role is fully on the data side)

Join our team and help deliver a high-impact data solution that enables smarter decision-making and scalable analytics for our client.

Apply