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Data Operations Jobs in Arizona (NOW HIRING)

Manager Data Center Operations

Goodyear, AZ ยท On-site

$161K/yr

As a Manager of Data Center Operations, you will be responsible for scaling the Core Data Center and hardware infrastructure, leading a team of engineers, and ensuring the infrastructure meets the ...

Associate, Operations Data Analytics

Tempe, AZ ยท On-site

$91K - $120K/yr

We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team. Oscar is the first health insurance company built around a full stack technology platform and a relentless ...

Develops creative approaches to keeping operational costs to a minimum, improves efficiency, and ... Ensures data centre operates at maximum operational efficiency, including analysing existing ...

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Data Operations information

See Arizona salary details

$48.5K

$119.8K

$186.4K

How much do data operations jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data operations in Arizona is $119,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $152,400.00 per year, depending on experience, location, and employer.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

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

In the US, high-paying roles such as senior executives, investment bankers, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes significant risk or ownership stakes.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and data quality standards to support analytics and decision-making processes.

Is 30 too late for data science?

Data operations roles often value relevant skills and experience over age, and many professionals transition into data science at various stages of their careers. While some roles may prefer candidates with recent technical training or certifications, age is generally not a barrier if you develop strong analytical, programming, and data management skills. Continuous learning and practical experience can help you succeed regardless of age.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What jobs pay 200,000 a year in the USA?

In data operations, senior roles such as Data Operations Managers, Data Architects, and Data Engineering Directors can earn $200,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, or cloud platforms, and leadership responsibilities. These positions often require a strong understanding of data management, analytics, and sometimes certifications like CDMP or AWS certifications.
What are the most commonly searched types of Data Operations jobs in Arizona? The most popular types of Data Operations jobs in Arizona are:
What cities in Arizona are hiring for Data Operations jobs? Cities in Arizona with the most Data Operations job openings:
Infographic showing various Data Operations job openings in Arizona as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $119,771 per year, or $57.6 per hour.
Manager Data Center Operations

Manager Data Center Operations

Roblox

Goodyear, AZ โ€ข On-site

$161K/yr

Full-time

Posted 14 days ago


Job description

Job Summary:
Roblox is a company focused on creating immersive digital experiences for a global community. As a Manager of Data Center Operations, you will be responsible for scaling the Core Data Center and hardware infrastructure, leading a team of engineers, and ensuring the infrastructure meets the large-scale requirements of the Imagination Platformโ„ข.
Responsibilities:
โ€ข Develop and maintain the Core Data Center and hardware infrastructure to meet the large-scale and real-time requirements of our Imagination Platformโ„ข to ensure our community has an awesome experience anywhere in the world. This includes all aspects of the server, network infrastructure, power, and environmental monitoring.
โ€ข Lead a growing team of data center engineers focusing on rack deployments, hardware troubleshooting and break-fix, and decommissioning.
โ€ข Identify and solve critical problems and prevent them from re-occurring via root cause analysis and giving recommendations to improve automation. Guide, train and educate staff on best practices related to break/fix tasks related to the server hardware and network infrastructure.
โ€ข Create, influence, and improve the development platform, infrastructure, metrics, standards (Runbooks, SOPs, MOPs), and methods to ensure the goal of scalability and high availability can be achieved.
โ€ข Participate in the on-call rotation for our critical infrastructure.
โ€ข Build and implement Core sites around the world including low voltage cabling, creating BOMs, vendor management.
Qualifications:
Required:
โ€ข At minimum 10+ years of experience working in large-scale Data Center Infrastructure environments and 3+ years experience leading a team of 3 or more data center engineers.
โ€ข Extensive experience installing, monitoring, and maintaining server and network equipment.
โ€ข In-depth knowledge of data center environments, servers, and network equipment.
โ€ข Proven experience executing on multiple tasks simultaneously.
โ€ข You have installed various equipment that commonly resides in the data center environment and are able to lift 75 pounds occasionally.
Company:
Roblox operates an online platform for user-generated games and immersive 3D experiences. Founded in 2004, the company is headquartered in San Mateo, USA, with a team of 1001-5000 employees. The company is currently Late Stage.