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Data Optimizer Jobs in Arizona (NOW HIRING)

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 ...

Republic Services, Inc.

Data Scientist III

Phoenix, AZ · On-site

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Demonstrated expertise with common commercial analytics topics (e.g. pricing optimization, customer ...

Republic Services

Data Scientist III

Phoenix, AZ

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Demonstrated expertise with common commercial analytics topics (e.g. pricing optimization, customer ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Demonstrated expertise with common commercial analytics topics (e.g. pricing optimization, customer ...

Republic Services

Data Scientist III

Phoenix, AZ

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Demonstrated expertise with common commercial analytics topics (e.g. pricing optimization, customer ...

Intraedge

Data Engineers with Lumi

Phoenix, AZ · On-site

$113K - $136K/yr

Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and Google Cloud Platform technologies.

Inficare Technologies

Data Analyst

Phoenix, AZ · On-site

Skills & Qualifications * 5-8 years of experience as a SQL/Data Analyst, with strong hands-on expertise in MS SQL (querying, data manipulation, and performance optimization) * Solid understanding of ...

Troon

Data Engineer

Scottsdale, AZ

$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 ...

Tror AI for everyone

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Proficiency in Hive and SQL optimization. * Understanding of distributed systems and big data architecture. * Knowledge of streaming frameworks (Spark Streaming, Kafka Streams). * Good to have ...

Troon Golf

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 ...

Stantec

Senior Data Architect

Tucson, AZ · On-site

$64.75 - $86.75/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 ...

Stantec

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 ...

Smart Synergies

Data Engineering Lead

Glendale, AZ · On-site

Platform Optimization and Monitoring: Oversee the deployment and management of Azure Data Lake and Databricks environments. Implement monitoring and alerting systems to ensure system reliability and ...

Radix

Data Engineer

Scottsdale, AZ

$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 ...

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

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 ...

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

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 ...

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Showing results 21-40

All JobsData Optimizer JobsData Optimizer Jobs in Arizona

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.

Principal Data Engineer

Cambridge Investment Research, Inc.

Phoenix, AZ • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Job SummaryKey Deliverables and Responsibilities

As a Principal Data Engineer, you will serve as a hands-on technical leader responsible for designing, building, and optimizing Cambridge's modern data platform. You'll help define data architecture standards, lead engineering efforts, mentor team members, and drive scalable data solutions that support enterprise analytics and business initiatives.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines supporting enterprise reporting, analytics, and business applications.

  • Build and optimize ETL/ELT solutions using modern cloud-based technologies.

  • Design and implement data integration solutions utilizing Azure Data Factory (ADF), Azure Functions, and other Azure services.

  • Develop and maintain datasets within Snowflake and Azure Data Lake Storage (ADLS) environments.

  • Lead data platform architecture initiatives, including data modeling, ingestion, transformation, storage, and consumption patterns.

  • Drive performance tuning and cost optimization efforts across cloud data platforms and processing workloads.

  • Design secure, reliable data movement solutions using batch and streaming integration patterns.

  • Establish engineering best practices, code reviews, and architectural standards.

  • Mentor data engineers and provide technical leadership across projects.

  • Partner with analytics, product, and business stakeholders to deliver scalable, high-quality data solutions.

What We Are Looking For

  • 8+ years of experience in data engineering, data architecture, or related technical roles.

  • Strong hands-on experience with:

    • Snowflake (SQL)

    • Azure Data Factory (ADF)

    • Azure Data Lake Storage (ADLS)

    • Azure Functions

    • Data Pipeline Development

    • ETL / ELT Design and Implementation

    • Performance Tuning

    • Cloud Cost Optimization

    • Python

  • Strong SQL development and data modeling expertise.

  • Experience designing scalable data integration and analytics solutions in Azure.

  • Knowledge of modern data architecture patterns and best practices.

Preferred Qualifications

  • Experience with Bronze/Silver/Gold (Medallion) architecture patterns.

  • Experience with Change Data Capture (CDC) and streaming platforms.

  • Experience with data governance, lineage, and metadata management.

  • Knowledge of financial services, wealth management, or highly regulated industries.

Location: Phoenix, AZ, or Fairfield, IA - Hybrid in-office 3 days/week

Why Cambridge?

Cambridge has competitive benefits and promotes a work/life balance to encourage individual success.

  • Premium benefit package including medical, vision, dental, life and long-term disability insurance

  • Vacation/sick time

  • 401K retirement plan with company matching program

  • Eleven paid holidays

You can find more details about our comprehensive benefits packagehere.

Company Overview:

At Cambridge, our purpose is simple: to make a difference in the lives of our financial advisors, their clients, and our associates. Founded in 1981, we have 45 years of experience supporting independent financial advisors with industry-leading tools, compliance, and transition services. Guided by our core values-integrity, commitment, flexibility, and kindness-we put financial advisors first in every decision we make.

Cambridge is an internally controlled, growth-focused independent broker-dealer, ranked among the largest and fastest-growing firms in the industry. With home offices in Fairfield, Iowa, and Phoenix, Arizona, and a nationwide reach, our 900 associates maintain a 4:1 advisor-to-associate ratio to ensure personalized service.

Our community of over 4,000 producing financial advisors includes diverse business models-RIA, corporate RIA, hybrid, fee-only, and brokerage-and offers a broad selection of investment solutions with no proprietary products.

For further information about Cambridge, please visit https://www.joincambridge.com/

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