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Manager Data Engineering Jobs in Phoenix, AZ (NOW HIRING)

Corning Incorporated

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Required : • Bachelor's degree in Data Engineering, Computer Science, Information Systems ... Ability to manage multiple priorities and work effectively in a dynamic, startup environment.

Intelliswift - An LTTS Company

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T Technology Services, Ltd.. Founded in 2001, the company is headquartered in Newark, USA, with a ...

Dutch Bros Coffee

Senior Engineer, Data

Tempe, AZ · On-site

$120 - $170/hr

... Dutch Bros IT Data Management & Engineering organization plays a critical role in designing, developing & optimizing Data Management Pipelines for our Enterprise Data Platforms within our ...

Vultus Inc

Data Engineer

Phoenix, AZ

$113K - $136K/yr

... in Data Engineering. * Strong programming skills in Python and SQL. * Experience with cloud ... Good time management and organizational skills. * Quick learner with a proactive attitude. Benefits

kestra

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

... data engineering, data modeling, security, and CI/CD automation. * Utilize Apache Airflow and ... Implement and manage Unity Catalog for RBAC, lineage, governance, and secure data sharing. * Build ...

kestra

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

... data engineering, data modeling, security, and CI/CD automation. * Utilize Apache Airflow and ... Implement and manage Unity Catalog for RBAC, lineage, governance, and secure data sharing. * Build ...

Corning

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial ... Ability to manage multiple priorities and work effectively in a dynamic, startup environment.

Corning

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial ... Ability to manage multiple priorities and work effectively in a dynamic, startup environment.

Corning

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial ... Ability to manage multiple priorities and work effectively in a dynamic, startup environment.

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Phoenix, AZ

Manager Data Engineering information

See Phoenix, AZ salary details

$30.8K

$96.5K

$170.8K

How much do manager data engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for manager data engineering in Phoenix, AZ is $96,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $124,600.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Phoenix, AZ? The most popular types of Data Engineering jobs in Phoenix, AZ are:
What are popular job titles related to Manager Data Engineering jobs in Phoenix, AZ? For Manager Data Engineering jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Phoenix, AZ look for? The top searched job categories for Manager Data Engineering jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Manager Data Engineering jobs? Cities near Phoenix, AZ with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Phoenix, AZ as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $96,456 per year, or $46.4 per hour.

Data Engineer

Corning Incorporated

Tolleson, AZ • On-site

$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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