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Data Optimization Jobs in Arizona (NOW HIRING)

Data Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Data Modeler Architect The Data Modeler Architect is responsible for strategic understanding and ... optimization and innovation. Creates visual representations of the people, places and things of ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Serves as a technical leader in data engineering, driving best practices in pipeline design, data modeling, and platform optimization. Key Responsibilities: * Design, develop, and maintain end-to-end ...

Senior Data Architect

Tucson, AZ · On-site

$62.50 - $83.75/hr

Oversee the performance optimization, scalability and reliability of the PM2PA data flows. This may involve tuning Oracle databases or other key data sources, optimizing application performance and ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Optimization: Optimize big data solutions to improve performance, scalability, and cost-efficiency. * Collaboration: Work closely with cross-functional teams to integrate big data solutions with ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Own the reliability, performance, governance, and cost optimization of Radix's Databricks-based data platform, including orchestration, data quality, observability, and root cause analysis. * Build ...

Serve as a subject matter expert for HR technology, workforce data, and people analytics, supporting the optimization and effective use of HCM systems and reporting solutions. * Facilitate and ...

Serve as a subject matter expert for HR technology, workforce data, and people analytics, supporting the optimization and effective use of HCM systems and reporting solutions. * Facilitate and ...

Serve as a subject matter expert for HR technology, workforce data, and people analytics, supporting the optimization and effective use of HCM systems and reporting solutions. * Facilitate and ...

Data Architect

Phoenix, AZ · On-site

$62 - $79.75/hr

Hands-on management of SQL Server 2012 or higher, Oracle, or IBM DB2, involving implementation of schemas, indexes, and query optimization * Experience with Developing strategies for data acquisition ...

... while optimizing organizational revenue Must Have Data Analysis Modeling Gather clean and consolidate financial claims pharmacy enrollment and premium datasets into actionable models Risk Score ...

Define and implement data acquisition and integration logic, selecting an appropriate combination of methods tools within the defined technology stack to ensure optimal scalability and solution ...

Evaluate data quality, model performance, and AI system limitations while ensuring responsible ... optimization. * Maintain thorough documentation of models, methodologies, assumptions, and ...

Senior Data Architect

Phoenix, AZ · On-site

$66.75 - $89.25/hr

... optimization, data product design, and platform modernization initiatives. The ideal candidate brings extensive experience designing and implementing modern data ecosystems leveraging AWS, Snowflake ...

Data/Information Architect

Tempe, AZ · On-site

$61 - $78.50/hr

Must have knowledge of cluster optimization and its integration with various cloud services. * Must have good understanding to create complex data pipelines. * Must be strong in SQL and spark-sql.

Showing results 41-60

Data Optimization information

What is a data optimization?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in data optimization, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are some typical challenges faced in a data optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What are the most commonly searched types of Data Optimization jobs in Arizona?

The most popular types of Data Optimization jobs in Arizona are:

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

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

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

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

What cities in Arizona are hiring for Data Optimization jobs?

Cities in Arizona with the most Data Optimization job openings:

Infographic showing various Data Optimization job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

$63.25 - $81.50/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Data Modeler Architect

The Data Modeler Architect is responsible for strategic understanding and documenting of existing corporate data and related applications as well as the tactical design and integration of new foundational, highly-shared Health payer domain data.

The Data Modeler Architect is responsible for creation and maintenance of artifacts related to information architecture including Architectural Diagrams, Data Flow Diagrams, and Conceptual, Logical and Physical Data and or Process Models.

Assists in near/mid-term roadmap creation, to address gaps and move towards future state architecture to support growth, optimization and innovation.

Creates visual representations of the people, places and things of interest to a business. Facilitates communication between business people and technical people. Documents the data concepts / data blueprint that must be communicated and agreed upon.

Designs data interfaces between systems, and the infrastructure that will support common data operations. Creates a formal process for managing the flow of data and how it is processed across the Enterprise.

Required Work Experience:

  • 3 years experience in modeling including Conceptual, Logical, and Physical data and process modeling (Level 1)
  • 2 years end to end experience evolving data and process models from initiation to physical implementation (Level 1)
  • 2 years experience in mapping data integration and data architecture (Level 1)
  • 5 years experience in modeling including Conceptual, Logical, and Physical data and process modeling (Level 2)
  • 3 years end to end experience evolving data and process models from initiation to physical implementation (Level 2)
  • 3 years experience in mapping data integration and data architecture (Level 2)

Preferred Work Experience:

  • 7 years of experience modeling data to conceptual, logical and physical models (Level 1 and 2)
  • 5 years experience in healthcare industry data (e.g. EDI, HL7/FHIR, Health and Pharmacy Claims, Service, and Enrollment transactions). (Level 1 and 2)
  • 5 years experience in mapping data integration and data architecture (Level 1 and 2)
  • 4 years experience Master Data Management (Level 2)

Preferred Certifications:

  • Technical Certifications in Microsoft SQL