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Data Solutions Developer Jobs in Arizona (NOW HIRING)

Trellance, Inc.

Lead AI & Data Solutions

Phoenix, AZ · On-site

$180 - $240/hr

This role will be responsible for managing a team of AI Engineers, Software Engineers, Data ... AI Solution Delivery * Lead the design, development, and deployment of AI-powered applications ...

New

Stem Xpert

Big Data Solutions Architect

Phoenix, AZ

... engineering and systems integration. Our tightly integrated offerings are tailored to each clients ... Design/ Architect/ Implement various solutions arising out of the large data processing (GB's/ PB ...

Maricopa

Enterprise Data Solutions Manager

Phoenix, AZ · On-site

$155K - $187K/yr

The Enterprise Data Solutions Manager leads the planning, design, and delivery of enterprise data ... Bachelor's degree in Computer Science, Information Systems, Data Engineering, Business Intelligence ...

Intellisoft Technologies

Bigdata Developer

Phoenix, AZ · On-site

$52.50 - $68.25/hr

The role involves architecting and designing scalable big data solutions while collaborating with ... engineers, analysts, and business stakeholders, to gather and define data requirements. • ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

... and enterprise data solutions while contributing to the continued evolution of our data ... Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... and enterprise data solutions while contributing to the continued evolution of our data ... Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$113K - $136K/yr

... and enterprise data solutions while contributing to the continued evolution of our data ... Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$104K - $125K/yr

... and enterprise data solutions while contributing to the continued evolution of our data ... Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor ...

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Data Solutions Developer information

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

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

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.

What are popular job titles related to Data Solutions Developer jobs in Arizona?

For Data Solutions Developer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Solutions Developer jobs in Arizona look for?

The top searched job categories for Data Solutions Developer jobs in Arizona are:

What cities in Arizona are hiring for Data Solutions Developer jobs?

Cities in Arizona with the most Data Solutions Developer job openings:

Data Solutions Developer jobs near you
Infographic showing various Data Solutions Developer job openings in Arizona as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 72% Physical, 4% Hybrid, and 24% Remote job distribution.

Big Data Solutions Architect

Globe Telecom, Inc.

Globe, AZ

Full-time

Re-posted 8 days ago

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description Designs and ensures adherence to his/her recommended IT system landscape for optimal data flow, operational stability and avoidance of risks among systems supporting internal business processes.

DUTIES & RESPONSIBILITIES:

  • Design & Develop:Evaluate, recommend, design, and implement on premise and on cloud big data technologies and infrastructure that enable high performing, scalable, secure and stable solutions. This includes creation of high-level designs (HLD) and low-level designs (LLD) to communicate solutions to implementing teams

  • Collaborate: Work closely with analysts, data engineers, and business stakeholders to define data architecture that is fit purpose and fit for use. This involves identifying requirements and use-cases with internal and external stakeholders, creating solutions that leverage big data and cloud technologies, and driving technical architecture and implementation plans.

  • Innovate: Stay on top of industry trends, emerging technologies, and best practices to continuously enhance and future-proof our solutions. You will develop proofs-of-concept, minimum viable products, prototypes and product demos for new data technologies that we want to leverage for Globe's data platform

  • Champion: Serve as the go-to big data subject matter expert, passionately guiding technical consultations for business, product groups, and fellow solution architects.

HIRING REQUIREMENTS:

  • Technical Expertise: Strong background in Cloud platforms (AWS, GCP, Microsoft Azure, RHOCP, etc.), microservices architecture, DevOps, and enterprise-grade solutions. A Proven track record of architecting and building large scale distributed big data systems on premises and on the cloud is essential.

  • Experience: At least 5 years of hands-on experience as a Solution Architect, in designing and implementing complex systems. Hands-on experience with Databricks, Snowflake or other comparable big data platforms, and big data or streaming data tools is required.

  • Programming Skills: Hands-on experience with programming languages typically used in big data solutions (Python, Spark dbt, SQL).

  • Data Concepts: Deep understanding of traditional data warehousing, business intelligence and data management concepts, principles and techniques.

  • Problem-Solving Mindset: Analytical, with the ability to take on abstract business challenges, and design practical and scalable solutions. Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions.

  • Strong Communication Skills: Excellent verbal and written communication skills with a high degree of comfort in speaking with senior executives at large companies. Comfortable in translating technical requirements into clear, concise business objectives.

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

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