ZipRecruiter

Log In

1

Data Solutions Developer Jobs in Arizona (NOW HIRING)

Stellar IT Group

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform ... Develop solutions with a focus on scalability, maintainability, testability, and long-term ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · On-site

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Work with cross-functional teams to translate business requirements into scalable data solutions

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Work with crossfunctional teams to translate business requirements into scalable data solutions

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Work with crossfunctional teams to translate business requirements into scalable data solutions

Innova Solutions, Inc

Data Engineer

Phoenix, AZ · On-site

$50 - $55/hr

A client of Innova Solutions is immediately hiring for a Data Engineer Job Type: Full-Time / Contract (W2) Duration: 12+ Months (Possible extension) Location: Chandler, AZ / Charlotte, NC ...

New

ASM

Digital Solutions Engineer

Phoenix, AZ · On-site

This is a highly cross-functional role at the intersection of data engineering, application development, and operational enablement, ideal for someone who enjoys solving real-world problems by ...

Innova Solutions, Inc

Data Engineer

Phoenix, AZ · On-site

$40 - $42/hr

A client of Innova Solutions is immediately hiring for a Data Engineer position Position type: Fulltime, Contract Duration: 12 months Location: Charlotte, NC/ Irving, TX/ Phoenix, AZ/ Minneapolis, MN ...

New

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Successfully develop and deploy production-grade data solutions on Snowflake, databricks or similar ... Data engineering * Functional Expertise * Data modeling * Data management and data governance

kestra

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

... data solutions. Strong skills in SQL, Python, PySpark, ETL/ELT frameworks, and experience with ... Automate deployments, DevOps workflows, testing pipelines, and workspace configuration. What You ...

Markel International

Lead Data Architect

Scottsdale, AZ · On-site +1

Partner with engineering teams to support their detailed solutions and implementation through design reviews, guidance, and targeted hands-on contribution where needed * Specify data solutions that ...

kestra

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

... data solutions. Strong skills in SQL, Python, PySpark, ETL/ELT frameworks, and experience with ... Automate deployments, DevOps workflows, testing pipelines, and workspace configuration. What You ...

La Mesa RV

Senior Data Engineer (20187)

Phoenix, AZ · On-site

$97K - $132K/yr

Integrate data solutions with Power BI for reporting and visualization. * Ensure compliance with ... Bachelor's or Master's degree in Computer Science, Data Engineering, or related field or relevant ...

LA MESA RV INC

Senior Data Engineer (20187)

Phoenix, AZ · On-site

$97K - $132K/yr

Integrate data solutions with Power BI for reporting and visualization. * Ensure compliance with ... Bachelor's or Master's degree in Computer Science, Data Engineering, or related field or relevant ...

previous page

Showing results 41-60

All JobsData Solutions Developer JobsData Solutions Developer Jobs in Arizona

Data Solutions Developer information

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 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.

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 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

Stellar IT Group

Phoenix, AZ • On-site

$113K - $136K/yr

Full-time

Re-posted 24 days ago

Job description

Overview:
Job Title: Data Engineer
Location: Phoenix, AZ(Hybrid)
Job Type: FTE
Key Responsibilities
Data Platform & Pipeline Development
  • Design, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data Factory, and Microsoft Fabric to support data integration and analytics solutions.
  • Implement incremental and real-time data ingestion strategies using a medallion architecture for data lake storage.
  • Write, optimize, and maintain complex SQL queries to transform, integrate, and analyze data across enterprise systems.
  • Develop solutions with a focus on scalability, maintainability, testability, and long-term operability within a continuous delivery mindset.

Data Operations & Reliability
  • Support and troubleshoot legacy data platforms built on SSIS and SQL Server, ensuring high availability and performance of critical data processes.
  • Identify, troubleshoot, and resolve data integration and data quality issues to ensure reliable production data delivery.
  • Contribute to observability, automated validation, and CI/CD pipelines to support fast feedback and safe releases.

Agile Collaboration & Engineering Practices
  • Collaborate daily with product owners, QA, and engineers through Scrum ceremonies including standups, backlog refinement, sprint planning, sprint reviews, and retrospectives.
  • Participate in proof-of-concept efforts, technical spikes, and design discussions, providing thoughtful technical analysis and pragmatic recommendations.
  • Apply XP engineering practices such as pairing, incremental delivery, continuous refactoring, and shared code ownership to maintain high-quality, evolvable systems.
  • Clearly communicate technical concepts, risks, tradeoffs, and progress to both technical and non-technical stakeholders.

Requirements
Required Qualifications
  • 5+ years of experience designing and building data solutions.
  • Strong proficiency in SQL and Python for data analytics and transformation.
  • Hands-on experience with ETL pipeline development and automation.
  • Solid understanding of data lake architecture and design principles.
  • Experience working on Agile teams (Scrum, XP, or similar), with regular participation in standups, sprint planning, refinement, reviews, and retrospectives.
  • Comfort operating in highly collaborative environments with frequent verbal and written communication across engineering, product, and QA teams.
  • Ability to break work into small, iterative deliverables and adapt quickly based on feedback and changing priorities.
  • Strong ownership mindset, including accountability for the quality, reliability, and maintainability of delivered solutions.

Preferred Qualifications
  • Experience with Azure cloud services and cloud-based ETL tools.
  • Familiarity with data visualization tools such as Power BI or Tableau.
  • Understanding of event-driven architectures, including queues, batch processing, and pub/sub models.
  • Exposure to NoSQL databases such as MongoDB or Cassandra.
  • Experience working on product engineering teams delivering customer-facing or operationally critical systems.
  • Familiarity with modern engineering practices inspired by XP, including automated testing, pairing, refactoring, and continuous integration.
  • Experience operating systems in production environments with uptime, reliability, and observability expectations.

Bonus Points For
  • Experience in Data Science or Machine Learning, particularly in model deployment or feature engineering.
  • Experience contributing to engineering standards, documentation, or continuous improvement initiatives within an Agile team.

Skills:
SQL,Python

Apply