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Manager Data Engineering Jobs in Arizona (NOW HIRING)

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 ...

Oscar Health

Manager, Data Analytics

Tempe, AZ · Hybrid

$111K - $145K/yr

Partner with engineering and data teams to find solutions to data issues within a complex system ... with experience managing issues externally * 2+ years demonstrated ability to work with large ...

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Contribute to data architecture, governance, naming standards, documentation, and reusable engineering patterns. Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source ...

Oscar Health

Manager, Data Analytics

Tempe, AZ · On-site

$111K - $145K/yr

Partner with engineering and data teams to find solutions to data issues within a complex system ... with experience managing issues externally * 2+ years demonstrated ability to work with large ...

Oscar Health

Manager, Data Analytics

Tempe, AZ · Hybrid

$111K - $145K/yr

Partner with engineering and data teams to find solutions to data issues within a complex system ... with experience managing issues externally * 2+ years demonstrated ability to work with large ...

Oscar Health

Manager, Data Analytics

Tempe, AZ · On-site

$111K - $145K/yr

Partner with engineering and data teams to find solutions to data issues within a complex system ... with experience managing issues externally * 2+ years demonstrated ability to work with large ...

Troon

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Troon is the world's largest professional club management company, specializing in services in golf ... Required : • 3+ years of experience in data engineering, ETL/ELT development, or data integration ...

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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Showing results 21-40

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Arizona

Manager Data Engineering information

See Arizona salary details

$28.9K

$90.5K

$160.3K

How much do manager data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager data engineering in Arizona is $90,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $117,000.00 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 Arizona?

The most popular types of Data Engineering jobs in Arizona are:

What are popular job titles related to Manager Data Engineering jobs in Arizona?

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

What job categories do people searching Manager Data Engineering jobs in Arizona look for?

The top searched job categories for Manager Data Engineering jobs in Arizona are:

What cities in Arizona are hiring for Manager Data Engineering jobs?

Cities in Arizona with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 2% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $90,528 per year, or $43.5 per hour.

Senior Software Engineer - DevOps & Data Engineering

Koantek LLC

Chandler, AZ • On-site

$90 - $120/hr

Other

Re-posted 11 days ago

Job description

Chandler, United States | Posted on 06/09/2026

Job Description

We are looking for a versatile Senior Software Engineer who thrives at the intersection of traditional software engineering, robust CI/CD infrastructure, and heavy data systems.

In this role, you will bridge the gap between application development and scalable infrastructure. You will manage complex integrations with large customer repositories, streamline our deployment pipelines, and heavily contribute to our data architecture. We value continuous learning and are looking for someone eager to expand their skills into advanced data frameworks and AI-driven development workflows.

Key Responsibilities

CI/CD & Repo Management: Design, build, and maintain robust CI/CD pipelines optimized for integrating with large, complex customer repositories.

Full-Stack Development: Write clean, scalable code across the full stack while ensuring seamless deployment and system reliability.

Infrastructure as Code: Utilize Terraform to provision, manage, and scale cloud infrastructure.

Data Engineering & Architecture: Work extensively on heavy data-side engineering, including data pipeline development and optimizing data flows.

Continuous Upskilling: Proactively learn and implement PySpark and modern Data Architecture principles to support our growing data needs.

AI Tool Integration: Leverage modern AI tools like Claude, Cursor, and agentic workflows to accelerate development and automate routine engineering tasks.

Required Skills & Qualifications

Core Engineering: Strong background in traditional Software Engineering practices (OOP, system design, and clean code).

CI/CD Expertise: Proven experience with advanced CI/CD tools, version control, and managing deployments for large-scale customer repositories.

Full-Stack Exposure: Solid understanding of both frontend and backend development lifecycles.

Cloud & IaC: Hands-on experience (or a strong foundational knowledge) with Terraform and cloud infrastructure management.

Data-Centric Mindset: Experience working heavily on the data side of applications.

Growth Mindset: Strong willingness and readiness to upskill quickly on PySpark and Data Architecture.

Modern Tooling: Familiarity with LLMs and AI-assisted development tools like Claude and Cursor.

Big Plus / Bonus Skills

Advanced experience with Terraform at scale.

Experience building or utilizing Agentic tools and workflows for automation.

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