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Data Solutions Developer Jobs in Arizona (NOW HIRING)

Data Engineer III

Chandler, AZ · On-site +1

$110K - $132K/yr

If you are experienced in data engineering, cloud-based data platforms, and enterprise data modernization, and have 5+ years of experience designing and supporting scalable data solutions, then you ...

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 ...

Data Engineer III

Chandler, AZ · On-site

$110K - $132K/yr

If you are experienced in data engineering, cloud-based data platforms, and enterprise data modernization, and have 5+ years of experience designing and supporting scalable data solutions, then you ...

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 ...

Data Engineer (Full-time)

Phoenix, AZ · On-site

$113K - $136K/yr

... risk management solutions for financial institutions and their customers. The organization ... Role Description As a Data Engineer (Full-time) at Early Warning Services, you will design, build ...

New

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 ...

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 ...

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

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 ...

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 ...

Senior Data Engineer (20187)

Phoenix, AZ

$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 ...

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 ...

Data Engineer III with Security Clearance

Chandler, AZ · On-site

$110K - $132K/yr

If you are experienced in data engineering, cloud-based data platforms, and enterprise data modernization, and have 5+ years of experience designing and supporting scalable data solutions, then you ...

This role will partner with data engineers, security teams, and stakeholders to deliver scalable data and reporting solutions. The analyst will work on cybersecurity data sets (e.g., threat ...

Showing results 41-60

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 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:

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.

Data Engineer III

Iridium Satellite, LLC

Chandler, AZ • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Company Overview

Iridium is an award-winning satellite communications company operating the world's only truly global voice and data network, delivering reliable connectivity anywhere on Earth. For more than 20 years, Iridium has powered mission-critical communications for governments, businesses, aviation, maritime, and the rapidly expanding Internet of Things.

Now part of Iridium, Aireon is the world's only space-based air traffic surveillance system, providing real-time visibility of aircraft over oceans, the poles, and remote regions. Together, Iridium and Aireon are helping build a safer, more connected, and more efficient future for global aviation.

Join our team and help shape how the world stays connected. We foster a collaborative, inclusive culture where employees are empowered to innovate, grow professionally, and make a meaningful impact.

What We're Looking For:

If you are experienced in data engineering, cloud-based data platforms, and enterprise data modernization, and have 5+ years of experience designing and supporting scalable data solutions, then you will be excited about the Data Engineer opening with Iridium on our Enterprise Data team. As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and secure data foundations that support evolving business needs. In this role, you will focus primarily on designing and optimizing cloud-based data pipelines, ingestion frameworks, and data models that power analytics, reporting, operational insights, and more real-time data delivery, including modernization of QoS-related data pipelines. You will thrive in this role if you enjoy solving complex technical challenges, working with cross-functional partners, and building high-quality data infrastructure that drives strategic decision-making.

What You'll Do:
  • Contribute to the design, development, and optimization of scalable, reliable, and efficient data pipelines and ETL processes
  • Build and enhance data ingestion frameworks using AWS services such as Glue and DataSync, along with platforms including Snowflake and DBT
  • Support the implementation of strategies for ingesting structured and unstructured data from databases, APIs, and streaming sources, ensuring data quality, accuracy, and security
  • Troubleshoot, diagnose, and resolve issues related to data pipelines and ingestion processes
  • Develop and maintain data models to support analytics, reporting, and crossfunctional business needs
  • Ensure adherence to data governance, compliance requirements, and security best practices
  • Monitor, maintain, and optimize the health and performance of the data infrastructure to proactively identify bottlenecks or inefficiencies
  • Work with crossfunctional teams to translate business requirements into scalable data solutions
  • Support the onboarding and integration of QoS data initiatives, enabling more realtime operational visibility
What You'll Need to Succeed:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of relevant experience in data engineering
  • Prior experience in effectively collaborating and communicating with engineering teams and business stakeholders to build and maintain productive working relationships
  • Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks
  • Experience with data pipeline design, data modeling, streaming and batch ingestion technologies such as Kafka and NiFi/Openflow
  • Handson experience with AWS cloud services and data quality, governance, and performancetuning practices
  • Ability to translate business requirements into scalable data architectures
  • Telecom or satellite industry experience is a plus
  • Strong organizational skills with the ability to set personal priorities and assist others in executing assigned tasks, with guidance; proactively communicates bandwidth issues to manager
  • Good communication skills, with the ability to comfortably present products, deliverables, analyses, and/or issues to groups within your team
  • Able to create, edit, and structure documents with minimal guidance
  • Demonstrates active listening and asks substantive, thought-provoking questions
  • Possess an analytical mindset, with the ability to understand key outputs of data analysis, make routine decisions using data, and recognize and propose solutions to issues
  • Proactive in providing formal and informal feedback to peers and managers
  • Facilitates teamwork, positively impacts team/peer group, and demonstrates ownership of assigned tasks and activities
Things That Would be Great if You Brought to the Table:
  • Experience with data orchestration tools such as Airflow
  • Familiarity with CI/CD pipelines, infrastructureascode, or data quality frameworks
  • AWS certifications or Snowflake certifications
We'll also need you to:
  • Be able to work in the office at least 80% of the time (4 days per week) to foster collaboration with the team and stakeholders
  • Be on call
  • Must be a US Person
Work Environment:

This position primarily works in an office setting and is largely sedentary with the majority of the position working with a computer. The role typically requires the use of basic office equipment such as a phone, video, computer, keyboard, mouse, and printer. 

We believe in-person connection drives innovation, strengthens mentorship, and builds culture, while flexibility enables employees to do their best work. Under Iridium's Hybrid Work Policy, employees are expected to work at least four days per week (approximately 80%) in an Iridium office to support collaboration, relationship-building, and professional growth.

 

Additional Information

This job description outlines the general nature and level of work for this role and is not a comprehensive list of duties, responsibilities, or qualifications. Employees may be assigned additional responsibilities as needed.

Base Pay Range: $90,000 - $130,000 USD

Actual compensation will be determined based on a variety of factors and this range represents an estimate of compensation at the time of posting. Base salary is only one part of our compensation package for this role. You may also be eligible for company stock and annual bonus. Employee benefits also include medical, dental, and vision insurance coverage; 401(k) retirement plan options; paid time off and paid holidays; paid parental leave; and other discounts and perks.  

Iridium is an Equal Opportunity Employer, including individuals with disabilities and protected veterans.

Employment Type: FULL_TIME