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

Sarian, Inc.

Data Engineering

Phoenix, AZ · On-site

Must have 5-8 years of Data Engineering experience in a Big Data environment • Strong Data ... management processes • Having prior experience on transition from Taleo to Oracle Fusion Cloud ...

Circle K

Senior Manager Data Architecture

Tempe, AZ

$64.50 - $86.25/hr

Join our Global Data Engineering, Architecture and Enablement team and help build the foundation ... Manager, DataArchitecture tolead theteam that defineshow enterprise data is discovered, modeled ...

Troon

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Serves as a technical leader in data engineering, driving best practices in pipeline design, data ... Build and manage data integration processes using tools such as Azure Data Factory, Azure Synapse ...

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 ... Build and manage data integration processes using tools such as Azure Data Factory, Azure Synapse ...

Deloitte

Senior Manager Data Lead

Tempe, AZ · Hybrid

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring ...

Pwc

Data Engineer - Senior Manager

Phoenix, AZ · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

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

Manager Data Engineering information

See Chandler, AZ salary details

$30.5K

$95.7K

$169.4K

How much do manager data engineering jobs pay per year?

As of Aug 29, 2026, the average yearly pay for manager data engineering in Chandler, AZ is $95,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $123,600.00 per year, depending on experience, location, and employer.

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.

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.

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 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 most commonly searched types of Data Engineering jobs in Chandler, AZ?

The most popular types of Data Engineering jobs in Chandler, AZ are:

What are popular job titles related to Manager Data Engineering jobs in Chandler, AZ?

For Manager Data Engineering jobs in Chandler, AZ, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Chandler, AZ look for?

The top searched job categories for Manager Data Engineering jobs in Chandler, AZ are:

What cities near Chandler, AZ are hiring for Manager Data Engineering jobs?

Cities near Chandler, AZ with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Chandler, AZ as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $95,678 per year, or $46 per hour.

Delivery Manager, Data Engineering and Conversion Solutions

Deloitte

Gilbert, AZ • On-site

Full-time

Posted 12 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Job description

Deloitte is seeking a Delivery Manager, Data Engineering and Conversion Solutions to lead the delivery of data engineering, data conversion, and platform implementation work for Government & Public Services clients. This role will oversee delivery teams, manage execution across the project lifecycle, and drive quality, timeliness, and operational consistency for complex data-focused engagements. The ideal candidate brings experience leading large-scale data delivery efforts, managing cross-functional teams, and supporting client outcomes in a structured delivery model.

Work you'll do

As a Delivery Manager, Data Engineering and Conversion Solutions on the AI & Data team, you will be responsible for...

  • Leading end-to-end delivery of data engineering and data conversion workstreams across client engagements
  • Managing project plans, scope, risks, issues, and dependencies to support timely delivery and quality outcomes
  • Overseeing delivery teams responsible for data ingestion, transformation, migration, validation, and deployment activities
  • Coordinating with client stakeholders, functional teams, and technical teams to align delivery objectives and execution plans
  • Monitoring delivery metrics, workstream performance, and quality controls across multiple project activities

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

  • Bachelor's degree
  • 8+ years of experience in data engineering, data integration, data migration, or data conversion delivery
  • 4+ years of experience leading project teams or delivery workstreams
  • 2+ years of experience managing delivery of extract, transform, and load processes, data mapping, data validation, and conversion activities
  • 2+ years of experience using project tracking, issue management, and status reporting methods in a delivery environment
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting government or public sector engagements
  • Experience delivering cloud-based data platform implementations
  • Experience with data quality, test planning, and production deployment activities
  • Experience managing multiple concurrent delivery priorities
  • Experience working in a delivery center or shared services model
Qualifications:

Deloitte is seeking a Delivery Manager, Data Engineering and Conversion Solutions to lead the delivery of data engineering, data conversion, and platform implementation work for Government & Public Services clients. This role will oversee delivery teams, manage execution across the project lifecycle, and drive quality, timeliness, and operational consistency for complex data-focused engagements. The ideal candidate brings experience leading large-scale data delivery efforts, managing cross-functional teams, and supporting client outcomes in a structured delivery model.

Work you'll do

As a Delivery Manager, Data Engineering and Conversion Solutions on the AI & Data team, you will be responsible for...

  • Leading end-to-end delivery of data engineering and data conversion workstreams across client engagements
  • Managing project plans, scope, risks, issues, and dependencies to support timely delivery and quality outcomes
  • Overseeing delivery teams responsible for data ingestion, transformation, migration, validation, and deployment activities
  • Coordinating with client stakeholders, functional teams, and technical teams to align delivery objectives and execution plans
  • Monitoring delivery metrics, workstream performance, and quality controls across multiple project activities

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

  • Bachelor's degree
  • 8+ years of experience in data engineering, data integration, data migration, or data conversion delivery
  • 4+ years of experience leading project teams or delivery workstreams
  • 2+ years of experience managing delivery of extract, transform, and load processes, data mapping, data validation, and conversion activities
  • 2+ years of experience using project tracking, issue management, and status reporting methods in a delivery environment
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting government or public sector engagements
  • Experience delivering cloud-based data platform implementations
  • Experience with data quality, test planning, and production deployment activities
  • Experience managing multiple concurrent delivery priorities
  • Experience working in a delivery center or shared services model
Education:Bachelor's DegreeEmployment Type:

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