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Data Integration Developer Jobs in Dallas, TX (NOW HIRING)

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Applications Integration Developer

Wylie, TX · On-site

Seeking an experienced Applications Integration Developer in the Wylie, TX area. Onsite role. This ... Develop and optimize complex SQL Server queries, stored procedures, and data processes supporting ...

Purple Drive Technologies

Snaplogic Developer

Plano, TX · On-site

$48 - $64/hr

SnapLogic Developer - Data Integration Location: Plano, TX (Onsite | Contract) Employment Type: Contract Job Summary We are seeking a skilled SnapLogic Developer with strong expertise in data ...

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All JobsData Integration Developer JobsData Integration Developer Jobs in Dallas, TX

Data Integration Developer information

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$47

$77

How much do data integration developer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data integration developer in Dallas, TX is $47.70, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $53.70 per hour, depending on experience, location, and employer.

What is the difference between Data Integration Developer vs Data Engineer?

AspectData Integration DeveloperData Engineer
Required CredentialsBachelor's in CS, IT, or related field; certifications like Talend or InformaticaBachelor's or higher in CS, Software Engineering; certifications in cloud platforms or big data tools
Work EnvironmentCollaborates with data analysts, ETL teams, and business units; often in IT or data teamsWorks on data pipelines, architecture, and infrastructure; in data engineering or data platform teams
Employer & Industry UsageUsed across industries for data migration, integration, and ETL processesUsed in data-heavy industries for building scalable data systems and pipelines

While both roles focus on data handling, Data Integration Developers primarily design and implement data pipelines for integration and ETL tasks, whereas Data Engineers build and maintain the infrastructure and architecture for large-scale data processing. The roles often overlap but differ in scope and technical focus.

What does a Data Integration Developer do?

A Data Integration Developer is responsible for designing, building, and maintaining systems that combine data from different sources into a unified view for analysis and reporting. They work with various data formats and platforms, develop ETL (Extract, Transform, Load) processes, and ensure the accuracy and efficiency of data flow across an organization. Their role often involves collaborating with data architects, analysts, and other IT professionals to support business intelligence and data warehousing initiatives.

What are some common challenges Data Integration Developers face when working with diverse data sources, and how can they be addressed?

Data Integration Developers often encounter challenges when connecting and consolidating data from a variety of sources with different formats, structures, and protocols. Issues like inconsistent data quality, incompatible data schemas, and real-time synchronization can arise. Addressing these challenges typically involves robust data mapping, implementing data validation rules, and using middleware or ETL (Extract, Transform, Load) tools that support multiple data formats. Effective communication with stakeholders and thorough documentation also help ensure smooth integration processes.

What Is a Data Integration Developer?

A data integration developer uses a wide set of skills to support the performance of a data warehouse, from analyzing and managing information to supporting team members and thinking creatively to solve problems. Duties include studying data sources and data models, planning data solutions, delivering data integrations, setting mediated schemas through databases, and mentoring coworkers to follow procedures and answer technical questions. Job qualifications typically include a bachelor’s degree in computer science or software engineering and experience in computer programming and mathematics. Consulting and communication skills are helpful in this career.

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

To thrive as a Data Integration Developer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and database management, typically backed by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as proficiency in SQL and relevant certifications, is often required. Analytical thinking, attention to detail, and effective communication are vital soft skills for identifying integration needs and collaborating with cross-functional teams. These skills ensure seamless data flow, accurate reporting, and efficient support of business intelligence initiatives.
More about Data Integration Developer jobs
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Data Integration Developer jobs near you
Infographic showing various Data Integration Developer job openings in Dallas, TX as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $99,222 per year, or $47.7 per hour.
Data Integration & Pipeline Engineer

Data Integration & Pipeline Engineer

Leeward Renewable Energy

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Posted 24 days ago

Job description

Job Summary:
Leeward Renewable Energy is forging an American energy future with integrity and innovation. The Data Integration & Pipeline Engineer will build and maintain reliable data pipelines that power analytics and operational systems, ensuring efficient data flow across platforms while implementing technical controls for quality and performance.
Responsibilities:
• Build and maintain ETL/ELT pipelines for structured and unstructured data
• Integrate APIs, third-party data, and operational systems
• Design and optimize curated (bronze/silver/gold) data layers
• Automate data ingestion, transformation, and orchestration
• Implement monitoring, logging, and observability frameworks
• Ensure scalability, reliability, and performance of pipelines
• Troubleshoot data failures and performance bottlenecks
• Embed validation checks and quality controls within pipelines
• Support MDM integrations and data synchronization processes
• Collaborate with Governance & Quality Engineer to implement steward-defined rules
Qualifications:
Required:
• 5+ years in data engineering
• Strong SQL and programming skills (Python, Scala, etc.)
• Experience building pipelines in cloud data platforms
• Familiarity with CI/CD and DevOps practices for data
• Understanding of data modeling concepts and data warehouse/lakehouse design
Preferred:
• Experience implementing data quality frameworks, validation rules, and pipeline testing
• Familiarity with metadata management and data catalog platforms (Collibra, Alation, Purview)
• Experience supporting analytics and BI platforms such as Power BI, Tableau, or Looker
• Experience working in agile data teams with strong collaboration between engineering, governance, and analytics
Company:
Leeward Renewable Energy is a renewable energy company that operates a portfolio of wind, solar and energy storage failities. Founded in 2003, the company is headquartered in Dallas, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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