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Data Integration Developer Jobs in Arizona (NOW HIRING)

Prophecy Technologies

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

... data integration in GCP Proficiency in Python, SQL, and data transformation frameworks (e.g ... Familiarity with CI/CD pipelines and DevOps practices in data environments Experience in reporting ...

Prophecy Technologies

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

... data integration in GCP Proficiency in Python, SQL, and data transformation frameworks (e.g ... Familiarity with CI/CD pipelines and DevOps practices in data environments Experience in reporting ...

Dlapiper

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Responsibilities Data Pipeline Engineering & Integration * Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs)

Pwc

Data Engineer - Manager

Phoenix, AZ · On-site

You will be responsible for developing and implementing data pipelines, data integration, and data ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Pwc

Data Engineer - Senior Associate

Phoenix, AZ · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You will be responsible for developing and implementing data pipelines, data integration, and data ...

Strategic Staffing Solutions

ETL Developer

Chandler, AZ · On-site +1

$52 - $68.25/hr

Job Title: ETL Developer Contract Length: 12+ Months Location: CHANDLER, AZ 85286/ Charlotte, NC 3 ... Support data integration between nCino and partner systems (upstream and downstream) * Develop and ...

Strategic Staffing Solutions

ETL Developer

Chandler, AZ · On-site +1

$50.25 - $65.75/hr

CHANDLER, AZ 85286/ Charlotte, NC 3 days onsite / 2 days remote (no fully remote option) Ref# 246279 The ETL Developer is responsible for supporting data integration between nCino and upstream ...

Deloitte

System Integration Engineer

Tempe, AZ · On-site

$159.90K/yr

As an experienced Interface Developer / Integration Analyst you will have the ability to share new ... Create and maintain data mappings/transformations (e.g., HealthConnect DTL ), and implement code ...

Staffingine LLC

Adobe AEP engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Data Ingestion Integration Skills to collect data from various sources using connectors and APIs ... Data Engineering * Experience in designing and building Data Warehouse and Data lakes good ...

Stantec

Senior Data Architect

Tucson, AZ · On-site

$62.50 - $83.75/hr

... developers, and integration specialists on the PM2PA team. Required Qualifications & Skills ... Data Modelling: Strong data modelling skills, both relational (3NF) and dimensional (star schema ...

Stantec

Senior Data Architect

Tucson, AZ

$64.75 - $86.75/hr

... developers, and integration specialists on the PM2PA team. Required Qualifications & Skills ... Data Modelling: Strong data modelling skills, both relational (3NF) and dimensional (star schema ...

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$48

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How much do data integration developer jobs pay per hour?

As of Jun 2, 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.

More about Data Integration Developer jobs
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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 Integration Developer jobs near you

GCP Data Engineer

Prophecy Technologies

Phoenix, AZ • On-site

$113.70K - $136.50K/yr

Full-time

Posted 28 days ago

Job description

Role: GCP Data Engineer (Data Engineering & Analytics / Cloud Migration)
Location: phoenix , AZ / Philadelphia, PA
Competencies
Must-Have:
Strong experience in GCP (Google Cloud Platform) data engineering and analytics solutions
Proven expertise in migrating legacy data warehouses to Google Cloud data warehouses (BigQuery)
Hands-on experience with ETL/ELT pipeline design, data modeling, and data integration in GCP
Proficiency in Python, SQL, and data transformation frameworks (e.g., Dataflow, Dataproc, or Apache Beam)
Experience with Google Cloud Storage, BigQuery, and Pub/Sub for scalable data processing
Strong understanding of data governance, quality, and performance optimization
Good-to-Have:
Familiarity with CI/CD pipelines and DevOps practices in data environments
Experience in reporting and analytics tools (Looker, Power BI, Tableau)
Knowledge of Airflow, Cloud Composer, or similar orchestration frameworks
Prior experience in data warehouse modernization or cloud migration projects
Excellent communication and collaboration skills for cross-functional team coordination
Responsibilities
Lead the migration of legacy data warehouse systems to Google Cloud Platform (BigQuery)
Design, build, and optimize data pipelines and ETL/ELT processes for scalable cloud-based data processing
Implement data architecture best practices to ensure performance, scalability, and reliability
Work closely with stakeholders to define data models, governance standards, and quality checks
Collaborate with analytics teams to ensure data availability for reporting and business intelligence
Monitor, troubleshoot, and enhance data workflows using GCP-native tools and DevOps principles
Support data validation, testing, and documentation throughout migration phases
Drive continuous improvement in data engineering processes and platform efficiency

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