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Data Developer Jobs in Arizona (NOW HIRING)

Big Data with Financial Services

Phoenix, AZ · On-site

$52.50 - $68.25/hr

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. Must have strong programming ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Senior Database Developer

Mesa, AZ · On-site

$50 - $55/hr

Job Overview We are seeking a Senior Database Developer with extensive experience in PostgreSQL and ... Strong understanding of data security, backup, and recovery methods. * Excellent problem-solving ...

Data Testing Expert is responsible validating data sources and ingestion pipes, data integration ... Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or related degree

Lead Data engineer

Chandler, AZ · On-site

$116K - $140K/yr

They are looking for a specialized ETL backend developer to help with additional work they've taken on related to the migration to Google Cloud Platform * Part of the Data & Insights team, they build ...

Data Engineer

Scottsdale, AZ

$114K - $137K/yr

Experience with CI/CD pipelines and DevOps practices in Azure * Knowledge of data governance, lineage, and cataloging tools * Experience optimizing performance and cost in cloud environments ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Experience with CI/CD pipelines and DevOps practices in Azure * Knowledge of data governance, lineage, and cataloging tools * Experience optimizing performance and cost in cloud environments ...

Data Engineer

Scottsdale, AZ · On-site

$60 - $70/hr

Data Engineer Location: Scottsdale, AZ Remote: NO Length: 6 months (potential contract to hire) Contact: Brian Merin; ; Summary: Leads the design and implementation of data infrastructure, driving ...

Databricks Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

| GCP Data Engineer | Phoenix, AZ | Contract Opportunity Location: Phoenix, AZ (Onsite/Hybrid) Duration: 12+ Months Experience Required: 5-7+ Years Visa: All Visas Accepted ⚡ Quick Client Feedback ...

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 ...

Staff Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/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 ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Position Summary The Manufacturing Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Position Summary The Manufacturing Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is ...

Data Engineer

Tolleson, AZ

$112K - $135K/yr

Position Summary The Manufacturing Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is ...

... 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 ...

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Data Developer information

See Arizona salary details

$24

$49

$75

How much do data developer jobs pay per hour?

As of Jul 9, 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.

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.

How much does a data developer make?

The average salary for a data developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data developers proficient in programming languages like Python or SQL and familiar with data management tools tend to earn higher salaries.

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.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain roles in finance, technology, and law, especially with bonuses, stock options, or profit sharing, also reach this level. These positions typically require advanced skills, extensive experience, and often involve leadership or highly specialized expertise.

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 does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large volumes of data. They often work with programming languages like SQL and Python, and use tools such as data warehouses and ETL (Extract, Transform, Load) processes to ensure data is accessible and reliable for analysis and decision-making.

Is 40 too late for data science?

A data developer or data scientist can start a career at age 40, as skills in programming, statistics, and data analysis are learnable at any age. Many professionals successfully transition into data roles later in life by gaining relevant certifications and experience. Age is less important than skills, continuous learning, and practical experience in the field.
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 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:
Infographic showing various Data Developer job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,963 per year, or $49.5 per hour.
Big Data with Financial Services

Big Data with Financial Services

Career Guidant

Phoenix, AZ • On-site

$52.50 - $68.25/hr

Full-time

Re-posted 10 days ago


Job description

Company Description

Career Guidant, an internationally acclimed, trusted multi-faced orgiansation into Information Technology Custom Learning Services for Enterprises, Lateral Staffing Solutions, Information Technology Development & Consulting, Infrastructure & Facility Management Services and Technical Content development as core competencies. Our experienced professionals bring a wealth of industry knowledge to each client and operate in a manner that produces superior quality and outstanding results.

Career Guidant proven and tested methodologies ensures client satisfaction being the primary objective. Committed to our core values of Client Satisfaction, Professionalism, Teamwork, Respect, and Integrity.

Career Guidant with its large network of delivery centres,support offices and Partners across India, Asia Pacific, Middle East, Far East, Europe, USA has committed to render the best service to the client closely to ensure their operation continues to run smoothly. Our Mission

"To build Customer satisfaction, and strive to provide complete Information Technology solution you need to stay ahead of your competition" If you have any queries about our services.

Job Description

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture.
Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types, Arrays and String Operations, Operators, Control Flow Statements, Inheritance and Interfaces, Exception Handling, Serialization, Collections, Reading and Writing Files.
Must have hands on experience in design, implementation, and build of applications or solutions using Core Java/Scala.
Strong understanding of Hadoop fundamentals.
Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive, Pig.
Strong understanding of RDBMS concepts and must have good knowledge of writing SQL and interacting with RDBMS and NoSQL database - HBase programmatically.
Strong understanding of File Formats - Parquet, Hadoop File formats.
Proficient with application build and continuous integration tools - Maven, SBT, Jenkins, SVN, Git.
Experience in working on Agile and Rally tool is a plus.
Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python, Perl, and JavaScript.
Should have worked on large data sets and experience with performance tuning and troubleshooting.
Preferred
Knowledge of Java Beans, Annotations, Logging (log4j), and Generics is a plus.
Knowledge of Design Patterns - Java and/or GOF is a plus.
Knowledge of Spark, Spark Streaming, Spark SQL, and Kafka is a plus.
Experience to Financial domain is preferred
Experience and desire to work in a Global delivery environment

Qualifications

Bachelor's degree or foreign equivalent required. Will also consider one year of relevant work experience in lieu of every year of education

At least 5 years of Design and development experience in Big data, Java or Datawarehousing related technologies

Atleast 3 years of hands on design and development experience on Big data related technologies - PIG, Hive, Mapreduce, HDFS, HBase, Hive, YARN, SPARK, Oozie, Java and shell scripting

Should be a strong communicator and be able to work independently with minimum involvement from client SMEs

Should be able to work in team in diverse/ multiple stakeholder environment

Additional Information

Note : NO OPT, H1 for this position

Client : Infosys