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Data Integration Developer Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform ... Support and troubleshoot legacy data platforms built on SSIS and SQL Server, ensuring high ...

Senior, Data Engineer

Chandler, AZ · Remote

$140K - $160K/yr

Designs, develops, and optimizes data integration processes, ETL workflows, and data platforms ... * Working knowledge of version control concepts, with experience using Microsoft DevOps for ...

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Collaborate with data scientists and ML engineers to integrate RAG-based systems into enterprise platforms * Build and manage knowledge retrieval layers leveraging vector databases and embeddings

Data Fabric Architect

Phoenix, AZ

$63.25 - $81.50/hr

Collaborate with data scientists and ML engineers to integrate RAG-based systems into enterprise platforms * Build and manage knowledge retrieval layers leveraging vector databases and embeddings

Lead Engineer, Integration

Tempe, AZ · On-site

$99.70K - $131.30K/yr

The Lead Engineer, Integration provides technical direction and leadership for a team focused on enterprise-wide system and data integration. This role is responsible for driving the design ...

Lead Engineer, Integration

Tempe, AZ · On-site +1

$99.70K - $131.30K/yr

The Lead Engineer, Integration provides technical direction and leadership for a team focused on enterprise-wide system and data integration. This role is responsible for driving the design ...

... data flows, API integration patterns, and reusable components. * Build and support Java and Groovy ... engineering standards. * Create and maintain REST-based integrations with internal and external ...

Advanced proficiency in Scala programming for big data application development ... Familiarity with data modeling| ETL processes| and data integration techniques.Experience with ...

Databricks Data Engineer

Tempe, AZ · On-site

$111.40K - $133.70K/yr

... integration, and data modeling practices to improve data quality, scalability, and platform ... Required : • Bachelor's degree in Computer Science, Engineering, Information Systems, Data ...

Develop APIs and workflows for data integration using REST APIs. * Ensure data quality, governance, and compliance within AEP. * Collaborate with marketing, analytics, and engineering teams to ...

Perform end-to-end data analysis, profiling, and integration across complex datasets. * Support data warehouse development and analytics initiatives through advanced SQL/PLSQL programming. * Document ...

ETL Developer

Phoenix, AZ · On-site

$50.75 - $66.25/hr

ETL Developer Design, develop, and maintain ETL processes using Informatica and Fivetran. Create ... Troubleshoot and resolve data integration issues. Optimize ETL performance and ensure scalability ...

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Data Integration Developer information

See Arizona salary details

$9

$48

$78

How much do data integration developer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for data integration developer in Arizona is $48.16, according to ZipRecruiter salary data. Most workers in this role earn between $40.53 and $54.23 per hour, depending on experience, location, and employer.

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.

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 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 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 are popular job titles related to Data Integration Developer jobs in AZ? For Data Integration Developer jobs in AZ, the most frequently searched job titles are:

Data Engineer / BI Developer

Purple Drive Technologies

Tempe, AZ • On-site

Full-time

Posted 7 hours ago


Job description

Overview:
Role: Data Engineer / BI Developer (SSIS, Denodo, SSAS)
Location: Onsite - Tempe, AZ
Duration: 6 Months
GBaMS ReqID: 10257233
Experience Requested: 6-8 Years
Job Description:
  • Design, develop, and maintain ETL workflows using SQL Server Integration Services (SSIS).
  • Work with Denodo for data virtualization, integration, and federation across multiple data sources.
  • Develop and manage SQL Server Analysis Services (SSAS) cubes for analytical and reporting needs.
  • Collaborate with business and data teams to translate requirements into efficient data models and pipelines.
  • Optimize SQL queries and perform performance tuning of ETL processes.
  • Provide production support, troubleshoot issues, and enhance system performance.

Required Skills:
  • Strong hands-on experience with SSIS, Denodo, and SSAS (SQL Server 2012 or later).
  • Proficiency in SQL development and data warehousing concepts.
  • Experience in data integration, reporting, and business intelligence architecture.
  • Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, or a related field.