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Data Engineers Jobs in Arizona (NOW HIRING)

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

The Data Engineer will design and implement data structures and analytical solutions to improve decision-making and operational excellence across various functions. Responsibilities : • Identify ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Intelliswift, an LTTS Company, is seeking a Data Engineer to build optimal cloud-based data pipelines and automated data ingestion processes. The role involves developing and deploying cloud-based ...

Data Engineer

Scottsdale, AZ

$115K - $138K/yr

You will work closely with the Head of Data Engineering and cross-functional partners across Product, Engineering, Analytics, and AI Systems to improve the quality, reliability, and usability of ...

New

Data Engineer

Scottsdale, AZ · On-site

$60 - $70/hr

Data Engineer Location: Scottsdale, AZ Remote: NO Length: 6 months (potential contract to hire) Contact: Brian Merin; ; Summary: Leads the design and implementation of data infrastructure, driving ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

This role will work closely with Data Engineering, Data Products, Business Intelligence, Data Governance, and business stakeholders to establish data quality standards, identify issues, implement ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Position Summary The Manufacturing Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Position Summary The Manufacturing Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Position Summary The Manufacturing Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is ...

Support data scientists and software engineers in building and deploying new RESTful services. * Apply software engineering best practices including code reviews, version control, testing frameworks ...

Support data scientists and software engineers in building and deploying new RESTful services. * Apply software engineering best practices including code reviews, version control, testing frameworks ...

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Support data scientists and software engineers in building and deploying new RESTful services. * Apply software engineering best practices including code reviews, version control, testing frameworks ...

Data Architecture and Engineering * Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. * Experience designing and ...

Showing results 41-60

Data Engineers information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do data engineers jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data engineers in Arizona is $120,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineers vs Data Analysts?

AspectData EngineersData Analysts
Required CredentialsBachelor's in Computer Science, Engineering, or related field; often certifications in cloud platforms or data engineering toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentBuild and maintain data pipelines, work with big data technologies, often in cloud environmentsAnalyze data, create reports and dashboards, work with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerce; focus on data infrastructureMarketing, finance, retail, healthcare; focus on data insights for decision-making

Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to provide actionable insights. Both roles are essential but serve different functions within data teams.

What exactly does a data engineer do?

A data engineer designs, builds, and maintains the data pipelines and infrastructure that enable organizations to collect, store, and analyze large volumes of data. They work with tools like SQL, Python, and cloud platforms to develop scalable data systems and ensure data quality and security. Their role often involves collaboration with data scientists and analysts to support data-driven decision-making.
What cities in Arizona are hiring for Data Engineers jobs? Cities in Arizona with the most Data Engineers job openings:
Infographic showing various Data Engineers job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.

$112K - $135K/yr

Full-time

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


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

88th of 537 rated manufacturers


Job description

Job Summary:
Corning Incorporated is one of the world’s leading innovators in glass, ceramic, and materials science, seeking a Data Engineer to enhance their Solar business. The Data Engineer will design and implement data structures and analytical solutions to improve decision-making and operational excellence across various functions.
Responsibilities:
• Identify opportunities to improve data visibility, reporting effectiveness, process performance, and business decision-making across AMPS operations, and translate business needs into practical technical solutions.
• Design, develop, and implement data structures, dashboards, scorecards, KPI frameworks, and analytical solutions that support startup operations, process improvement, and long-term business needs.
• Partner with operations, supply chain, quality, finance, IT, and AMPS leadership to define data requirements, reporting priorities, performance measures, and sustainable business rules across functions.
• Support operational excellence initiatives by enabling root cause analysis, performance tracking, standardized metrics, and data-driven process improvements.
• Help establish standards for data governance, data quality, reporting consistency, and reporting design to support scalable and reliable solutions.
• Provide direction and recommendations on reporting strategy, technical design, and best practices to support cross-functional alignment and long-term sustainability.
• Identify and resolve data-related issues across reports, data sources, and operational systems, and document key definitions, reporting logic, and KPI calculations to support consistency and knowledge transfer.
• Participate in startup and transformation initiatives that establish AMPS digital, reporting, analytics, and process improvement capabilities.
Qualifications:
Required:
• Bachelor’s degree in Data Engineering, Computer Science, Information Systems, Industrial Engineering, Business Analytics, or related field; or equivalent combination of education and relevant experience.
• 3–7 years of experience in data engineering, business intelligence, analytics, reporting development, operational excellence, process improvement, or related technical roles.
• Experience designing and implementing data structures, data models, reporting solutions, analytics frameworks, or performance measurement tools in a business environment.
• Proficiency with SQL and experience with data querying, transformation, validation, and reporting or visualization tools such as Power BI, Tableau, SAP reporting tools, or similar platforms.
• Experience working with ERP, manufacturing, warehouse, or operational systems.
• Strong analytical, problem-solving, and technical troubleshooting skills, with the ability to communicate effectively across technical and non-technical teams.
• Ability to manage multiple priorities and work effectively in a dynamic, startup environment.
Preferred:
• Experience supporting a new site startup, major implementation, or large-scale business transformation.
• Experience in a manufacturing, warehouse, supply chain, or plant environment, including work with SAP data, ERP reporting, or operational data environments.
• Experience with process improvement, KPI standardization, data governance, master data, reporting optimization, automation tools, or scripting languages such as Python.
• Exposure to Lean, Six Sigma, or other operational excellence methodologies.
• Strong knowledge of data design, reporting strategy, performance measurement, and data management best practices.
• Ability to identify business needs, improve processes, develop technical solutions, and implement practical tools from concept through execution.
• Proficiency in Microsoft Office, especially Excel and PowerPoint.
• Ability to work independently and collaboratively while providing direction within cross-functional teams.
Company:
Corning is a manufacturer of glass, ceramics, and related materials. Founded in 1851, the company is headquartered in Corning, USA, with a team of 10001+ employees. The company is currently Late Stage.

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