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Data Optimization Jobs in Arizona (NOW HIRING)

kestra

Senior Data Platform Engineer

Tempe, AZ

$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 ...

kestra

Senior Data Platform Engineer

Tempe, AZ

$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

Data Scientist III

Phoenix, AZ

The Data Scientist III drives internal data analytics projects. Projects will vary from short ... Demonstrated expertise with common commercial analytics topics (e.g., pricing optimization ...

New

Republic Services

Data Scientist III

Phoenix, AZ

The Data Scientist III drives internal data analytics projects. Projects will vary from short ... Demonstrated expertise with common commercial analytics topics (e.g., pricing optimization ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

The Data Scientist III drives internal data analytics projects. Projects will vary from short ... Demonstrated expertise with common commercial analytics topics (e.g., pricing optimization ...

Zortech Solutions

Data Engineer (DE)

Fountain Hills, AZ · On-site

... and optimization • Structured Streaming and Delta Live Tables with Databricks a bonus • Experience leading and architecting enterprise-wide initiatives specifically system integration, data ...

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 ...

Adelante Healthcare

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... optimization, and schema development. • Advanced Python skills for scripting ETL/ELT logic ... Data Factory, Synapse Pipelines, and Logic Apps. • Expertise in data modeling, including ...

Futran Tech Solutions Pvt. Ltd.

Data Architect

Phoenix, AZ · On-site

$62 - $79.75/hr

Data Governance & Performance Optimization: Implement best practices for data governance, security, and compliance. Optimize query performance, cost, and storage Required Skills & Qualifications ...

Troon Golf

Data Engineer

Gilbert, 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 ...

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 ...

Deloitte

Databricks Data Engineer

Tempe, AZ

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business 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

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 ...

Sedgwick

Data Engineer AI

Phoenix, AZ · On-site +1

$113K - $136K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring Data Scientists have immediate access to clean, versioned, and statistically valid data. • ...

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Data Optimization information

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 is a Data Optimization job?

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.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as Excel, SQL, and data visualization tools like Tableau or Power BI. However, developing proficiency in data analysis typically requires ongoing practice, real-world experience, and understanding of statistical concepts, which may extend beyond three months for full competency.

What is a data optimization job?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and decision-making. Professionals in this role often use tools like SQL, Python, or data management software and require strong analytical skills to identify areas for improvement in data systems.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually depending on experience and industry. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and extensive experience.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, they do not fully replace the need for human judgment, domain expertise, and interpretative skills essential to the role of a data analyst.

What are the key skills and qualifications needed to thrive in the Data Optimization position, 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 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:
Data Optimization jobs near you
Infographic showing various Data Optimization job openings in Arizona as of June 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, and 54% Hybrid job distribution.

Senior Data Platform Engineer

kestra

Tempe, AZ

$109K - $131K/yr

Other

Posted 4 days ago

Job description

Lead with Purpose. Partner with Impact. 

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. 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, ETL/ELT frameworks, and experience with Delta Lake, Unity Catalog, and CI/CD automation are essential.

What you’ll Do:

  • Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform, ensuring reliability, scalability, and governance.
  • Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation.
  • Utilize Apache Airflow and similar tools for orchestration and workflow automation.
  • Work with financial or regulated datasets, applying strong compliance and governance practices.
  • Develop and optimize ETL/ELT pipelines using Python, PySpark, Spark SQL, and Databricks notebooks.
  • Design and optimize Delta Lake data models for reliability, performance, and scalability.
  • Implement and manage Unity Catalog for RBAC, lineage, governance, and secure data sharing.
  • Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables.
  • Create scalable ingestion pipelines for APIs, databases, files, streaming sources, and MDM systems.
  • Automate API ingestion and workflows using Python and REST APIs.
  • Support data governance, lineage, cataloging, and metadata initiatives.
  • Enable downstream consumption for BI, data science, and application workloads.
  • Write optimized SQL/T-SQL queries, stored procedures, and curated datasets for reporting.
  • Automate deployments, DevOps workflows, testing pipelines, and workspace configuration.

 

What You Bring: 

  • 8+ years of experience designing and developing scalable data pipelines in modern data warehousing environments, with full ownership of end-to-end delivery.
  • Expertise in data engineering and data warehousing, consistently delivering enterprise-grade solutions.
  • Proven ability to lead and coordinate data initiatives across cross-functional and matrixed organizations.
  • Advanced proficiency in SQL, Python, and ETL/ELT frameworks, including performance tuning and optimization.
  • Hands-on experience with Azure, Snowflake, and Databricks, and integration with enterprise systems.

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