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Data Optimizer Jobs in Arizona (NOW HIRING)

Ports North

Data Scientist

Phoenix, AZ · On-site

$110 - $140/hr

Data Scientist Position Summary We are seeking a Data Scientist to partner with business ... Develop personalization, recommendation, forecasting, and optimization solutions. * Support model ...

xCroTek

Snowflake Data Modeler

Snowflake, AZ · On-site

$90 - $120/hr

The candidate will be responsible for designing scalable and optimized data models, ensuring data quality, and enabling efficient analytics on Snowflake. This role requires strong knowledge of ...

Mondo

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration: Permanent ... optimization)

Master-Electronics

Data Scientist II

Phoenix, AZ · On-site

$120 - $160/hr

  • Medical

  • Life

  • Retirement

  • PTO

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Design, build, and refine pricing and optimization models, including dynamic pricing, price ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

  • Medical

  • Life

  • Retirement

  • PTO

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Design, build, and refine pricing and optimization models, including dynamic pricing, price ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

$120 - $170/hr

  • Medical

  • Life

  • Retirement

  • PTO

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Design, build, and refine pricing and optimization models, including dynamic pricing, price ...

Master Electronics

Data Scientist II

Phoenix, AZ

  • Medical

  • Life

  • Retirement

  • PTO

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Design, build, and refine pricing and optimization models, including dynamic pricing, price ...

Master Electronics

Data Scientist II

Phoenix, AZ

  • Medical

  • Life

  • Retirement

  • PTO

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Design, build, and refine pricing and optimization models, including dynamic pricing, price ...

IntraEdge

Data Architect

Chandler, AZ · On-site

$61.50 - $79/hr

Solid understanding of ETL design, orchestration, and optimization in cloud platforms. We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics with a ...

Intelliswift - An LTTS Company

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Responsibilities : • Build optimal cloud-based data pipeline in AWS • Build automated data ingestion and ETL processes • Develop and deploy cloud-based web applications Qualifications

Shamrock

Data Science Analyst

Phoenix, AZ · On-site

  • Medical

  • Retirement

  • PTO

Apply statistical modeling, forecasting, classification, regression, clustering, optimization, and other data science techniques to solve business problems. * Support use cases such as demand ...

Shamrock Foods Company

Data Science Analyst

Phoenix, AZ

  • Medical

  • Retirement

  • PTO

Apply statistical modeling, forecasting, classification, regression, clustering, optimization, and other data science techniques to solve business problems. * Support use cases such as demand ...

Globe Telecom, Inc.

Data Modeler

Globe, AZ · On-site

$52 - $67.50/hr

Creation of the logical and physical data models for the Gold Layer, focusing on creating subject-oriented, dimensional models (e.g., Star/Snowflake schemas) optimized for high-volume query ...

Globe Telecom, Inc.

Data Engineer Manager

Globe, AZ · On-site

$108K - $130K/yr

Lead the design, development, and optimization of automated data pipelines based on defined solution architectures. * Ensure seamless data ingestion, transformation, and loading processes that meet ...

kestra

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

The role involves designing and optimizing large-scale data pipelines, modernizing cloud-based data ecosystems, and enabling secure, governed data solutions. Strong skills in SQL, Python, PySpark, ET ...

First Citizens Bank

Senior Data Architect

Phoenix, AZ · On-site

$66.75 - $89.25/hr

Optimizing warehouse utilization and workload management * Designing scalable partitioning and clustering strategies * Improving ELT processing efficiency * Reducing data movement and duplication

First Citizens Bank

Senior Data Architect

Phoenix, AZ

$66.75 - $89.25/hr

Optimizing warehouse utilization and workload management * Designing scalable partitioning and clustering strategies * Improving ELT processing efficiency * Reducing data movement and duplication

First Citizens Bank

Senior Data Architect

Phoenix, AZ · On-site

$64.25 - $86/hr

Optimizing warehouse utilization and workload management * Designing scalable partitioning and clustering strategies * Improving ELT processing efficiency * Reducing data movement and duplication

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Data Optimizer information

What is a data optimizer?

Data Optimizers are professionals who analyze, refine, and improve how data is collected, stored, processed, and utilized within an organization. They work to enhance data quality, streamline workflows, and ensure that businesses can make the most effective use of their data assets. By implementing best practices and leveraging technology, Data Optimizers help organizations gain actionable insights, reduce inefficiencies, and support better decision-making. Their role often involves working closely with data engineers, analysts, and business stakeholders to optimize data systems and processes.

How does a data optimizer typically collaborate with data engineers and analysts within a project team?

A Data Optimizer works closely with data engineers to ensure data pipelines are efficient, scalable, and aligned with organizational goals. They often review current data structures, identify inefficiencies, and propose enhancements that streamline data flow and improve performance. Collaboration with analysts is also key, as Data Optimizers help ensure data quality and availability for analytical tasks, often translating business needs into technical improvements. This role requires strong communication skills and the ability to bridge the gap between technical teams and business stakeholders.

What are the key skills and qualifications needed to thrive as a data optimizer, and why are they important?

To thrive as a Data Optimizer, you need strong analytical skills, a solid understanding of data management principles, and experience with data cleaning and transformation, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like SQL, Python, data visualization software, and data warehousing systems is common, and certifications in data analytics or database management can be advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure data integrity, facilitate informed decision-making, and drive organizational efficiency through optimized data processes.

What is the difference between Data Optimizer vs Data Analyst?

AspectData OptimizerData Analyst
CredentialsTypically requires certifications in data management, SQL, or data analysis toolsOften holds degrees in statistics, mathematics, or related fields
Work EnvironmentFocuses on data quality, efficiency, and process improvement within data systemsAnalyzes data sets to identify trends and generate reports for decision-making
Employer & Industry UsageUsed in industries emphasizing data infrastructure and optimizationCommon across various industries for business insights and reporting

While both roles work with data, Data Optimizers focus on enhancing data quality and system efficiency, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right skills to each role.

What cities in Arizona are hiring for Data Optimizer jobs?

Cities in Arizona with the most Data Optimizer job openings:

Data Optimizer jobs near you
Infographic showing various Data Optimizer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Adobe Journey Optimizer (AJO) Expert

Volto consulting

Phoenix, AZ • On-site

$56K/yr

Full-time

Re-posted 7 days ago

Job description

Job Title: Adobe Journey Optimizer (AJO) Expert
Location: Phoenix, AZ – Onsite
Experience: 12+ Years

Job Summary

We are seeking a highly experienced Adobe Journey Optimizer (AJO) Expert to lead the design, implementation, and optimization of cross-channel customer journeys. The ideal candidate will bring deep expertise in Adobe Experience Platform (AEP) and AJO, strong marketing technology knowledge, and the ability to translate business requirements into scalable, data-driven engagement solutions.

Key Responsibilities

  • Lead end-to-end implementation and configuration of Adobe Journey Optimizer.
  • Design, build, and optimize real-time and batch customer journeys across email, push, SMS, and other channels.
  • Work closely with marketing, product, analytics, and engineering teams to gather requirements and deliver personalized experiences.
  • Develop audience segmentation, event triggers, and decisioning strategies using AEP data.
  • Integrate AJO with external systems, APIs, and data sources.
  • Ensure data quality, governance, and compliance across customer engagement workflows.
  • Perform testing, validation, and performance tuning of campaigns and journeys.
  • Provide technical leadership, best practices, and mentoring to junior team members.
  • Support releases, deployments, and ongoing production enhancements.

Required Skills & Qualifications

  • 12+ years of overall IT experience with strong exposure to Adobe Experience Cloud.
  • Hands-on expertise in Adobe Journey Optimizer (AJO) and Adobe Experience Platform (AEP).
  • Strong understanding of real-time customer profiles, segmentation, and orchestration.
  • Experience with APIs, data ingestion, and integrations.
  • Knowledge of campaign management, personalization, and marketing automation.
  • Proficiency in troubleshooting, debugging, and performance optimization.
  • Excellent communication and stakeholder management skills.

Preferred Qualifications

  • Experience with other Adobe tools (Campaign, Target, Analytics).
  • Familiarity with data models, identity resolution, and privacy frameworks.
  • Prior experience working in large enterprise environments.