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Data Developer Jobs in Arizona (NOW HIRING)

Smart Synergies

Data Engineering Lead

Glendale, AZ

Familiarity with CI/CD pipelines and DevOps practices in a data engineering context. Soft Skills: Strong leadership and team management abilities. Excellent communication and stakeholder management ...

SkyTouch Solutions, LLC

Staff Data Engineer

Scottsdale, AZ · On-site

$115.40K - $138.50K/yr

... developer productivity * Demonstrates key competencies to include managing complexity, valuing differences, and cultivating innovation Your Team This is an individual contributor role that will ...

KUBRA

Data Engineer

Tempe, AZ

$109.70K - $131.70K/yr

About the Role We're looking for a Data Engineer to join our Product Development - Business Intelligence team. In this role, you'll design, build, and maintain scalable data infrastructure and cloud ...

KUBRA

Data Engineer

Tempe, AZ · On-site

$109.70K - $131.70K/yr

About the Role We're looking for a Data Engineer to join our Product Development - Business Intelligence team. In this role, you'll design, build, and maintain scalable data infrastructure and cloud ...

Pwc

Data Engineer - Manager

Phoenix, AZ · On-site

... DevOps services to build and deploy DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and ...

KUBRA

Data Engineer

Tempe, AZ

$109.70K - $131.70K/yr

About the Role We're looking for a Data Engineer to join our Product Development - Business Intelligence team. In this role, you'll design, build, and maintain scalable data infrastructure and cloud ...

MST Solutions

Data Engineer

Phoenix, AZ · Remote

$114.50K - $137.50K/yr

... DevOps Practices: 1 year experience • 2+ years' experience working with data warehousing, ETL development and ETL architecture. • 2+ years' experience combined experience with any of the ...

MST Solutions

Data Engineer

Phoenix, AZ · Remote

$114.50K - $137.50K/yr

... DevOps Practices: 1 year experience • 2+ years' experience working with data warehousing, ETL development and ETL architecture. • 2+ years' experience combined experience with any of the ...

Deloitte

Sr Databricks Data Engineer

Tempe, AZ · On-site

$111.40K - $133.70K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Futran Tech Solutions Pvt. Ltd.

GCP Data Engineer

Phoenix, AZ · On-site

$111.40K - $133.80K/yr

GCP AI Vertex Data Engineer Location: Phoenix, AZ / Scottsdale (day one onsite) Type: Contractor ... DevOps and CICD related technologies Excellent written verbal communication skills including ...

LHH US

Data Engineer

Phoenix, AZ

$110K - $120K/yr

Data Engineer We're hiring an experienced Data Engineer to support eligibility and membership data on a modern analytics platform built with Microsoft Fabric. This role focuses on building reliable ...

Donato Technologies, Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

GCP Data Engineer role Phoenix, AZ Need a Vedio screening Required skills • BS or MS degree in ... DevOps and source code management tools (XLR, Jenkins, Git, Github Actions, Sonar, Maven, Jira ...

Pwc

Data Engineer - Senior Manager

Phoenix, AZ · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Phoenix, AZ

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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Data Developer information

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$24

$49

$75

How much do data developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for data developer in Arizona is $49.50, according to ZipRecruiter salary data. Most workers in this role earn between $40.53 and $56.01 per hour, depending on experience, location, and employer.

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

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

How does a Data Developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

What are Data Developers?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are popular job titles related to Data Developer jobs in Arizona? For Data Developer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Developer jobs in Arizona look for? The top searched job categories for Data Developer jobs in Arizona are:
What cities in Arizona are hiring for Data Developer jobs? Cities in Arizona with the most Data Developer job openings:
What are popular job titles related to Data Developer jobs in AZ? For Data Developer jobs in AZ, the most frequently searched job titles are:
Data Developer jobs near you
Data Engineering Lead

Data Engineering Lead

Smart Synergies

Glendale, AZ

Other

Posted 2 hours ago

Job description

Job Summary:

We are seeking an experienced and highly skilled Data Engineering Lead to spearhead our data initiatives, with a primary focus on Azure Data Lake and its associated ecosystem. The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a solid understanding of security concepts within Azure, and a proven track record of leading teams in delivering scalable and secure data solutions.

Major Responsibilities:

Architectural Design and Implementation:

Design and implement robust, scalable, and efficient data architectures leveraging Azure Data Lake and Databricks.

Define and enforce best practices for data ingestion, storage, processing, and retrieval.

Optimize data workflows to ensure high performance and cost efficiency.

Data Governance and Security:

Develop and implement security measures for Azure Data Lake, ensuring compliance with organizational and regulatory standards.

Manage role-based access control (RBAC), encryption, and other security protocols within Azure Subscriptions.

Collaborate with security teams to perform regular audits and vulnerability assessments.

Team Leadership and Collaboration:

Lead and mentor a team of data engineers, providing technical guidance and fostering professional development.

Collaborate with cross-functional teams, including data scientists, business analysts, and IT teams, to deliver data-driven solutions.

Drive agile practices and ensure timely delivery of projects.

Platform Optimization and Monitoring:

Oversee the deployment and management of Azure Data Lake and Databricks environments.

Implement monitoring and alerting systems to ensure system reliability and performance.

Evaluate and incorporate new Azure services and technologies to enhance the data platform.

Strategic Planning and Roadmap Development:

Develop and execute a roadmap for data engineering aligned with business objectives.

Stay abreast of industry trends and advancements in data engineering and Azure technologies.

Provide recommendations for long-term data strategy, including data lakehouse adoption and cloud optimization.

Education and Experience Requirements:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

8+ years of experience in data engineering, with at least 3 years in a leadership role.

Extensive hands-on experience with Azure Data Lake, Databricks, and other Azure services.

Proven expertise in architecting and implementing large-scale data solutions.

ship is required for this position.

Required Knowledge and Skills:

Technical Skills:

Proficiency in SQL.

Deep understanding of Azure security concepts, including subscription management, RBAC, and data encryption.

Experience with data modeling, ETL pipelines, and big data technologies.

Familiarity with CI/CD pipelines and DevOps practices in a data engineering context.

Soft Skills:

Strong leadership and team management abilities.

Excellent communication and stakeholder management skills.

Analytical mindset with a proactive approach to problem-solving.

Preferred Qualifications:

Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

Experience with implementing data lakehouse architectures.

Familiarity with data governance frameworks like GDPR, CCPA, or HIPAA.

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