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

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 ...

Dlapiper

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... data engineering practice) to deliver analytics-ready data. * Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field ...

Dutchbros

Senior Engineer, Data

Tempe, AZ · On-site

$103K - $140K/yr

... 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 ...

Kforce Technology Staffing

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... engineering services * Experience working with relational and NoSQL databases, content management systems, search technologies, and large-scale data platforms * Experience with JSON, XML, and semi ...

Roblox

Manager Data Center Operations

Goodyear, AZ · On-site

$161K/yr

As a Manager of Data Center Operations, you will scale the Core Data Center and hardware infrastructure, lead a team of engineers, and ensure the infrastructure meets the real-time requirements of ...

Roblox

Manager Data Center Operations

Goodyear, AZ · On-site

$163K/yr

Lead a growing team of data center engineers focusing on rack deployments, hardware troubleshooting ... management. You have: * At minimum 10+ years of experience working in large-scale Data Center ...

American Express

Data Engineer II

Phoenix, AZ · On-site

$89K - $150K/yr

Apply best practices in data engineering, governance, and cloud cost data management to ... continuously improve platform capabilities. * Support data integration and cost attribution ...

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Data engineering * Functional Expertise * Data modeling * Data management and data governance * Leading by Influence * Detail-Oriented * Multitasking Physical Requirements: * In-Office Environment:

Roblox

Manager Data Center Operations

Goodyear, AZ · On-site

$185K - $228K/yr

Lead a growing team of data center engineers focusing on rack deployments, hardware troubleshooting ... management. You have: * At minimum 10+ years of experience working in large-scale Data Center ...

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Showing results 21-40

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.

Staff Engineer - Data Engineering

Early Warning Services

Scottsdale, AZ • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Overall Purpose

We're looking for a Staff Data Engineer to help build and evolve the modern data platform behind Zelle, one of the largest digital payments networks in the U.S. This role is perfect for an engineer who enjoys solving large-scale distributed data challenges, influencing architecture, and building cloud-native data platforms that powers next generation Payment products, analytics, and supports AI/ML workloads.

You'll work with modern technologies in AWS cloud while partnering with Product, Architecture, and Platform Engineering to deliver reliable, secure, and scalable data capabilities. If you're passionate about building reusable platform solutions, driving technical excellence, and making an impact at enterprise scale, we'd love to talk to you.

Essential Functions

  • Build data strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.

  • Participate in the strategic development of methods, techniques, and evaluation criteria for projects and programs.

  • Drive all aspects of technical and data architecture, design, prototyping and implementation in support of both product needs as well as overall technology data strategy.

  • Provide leadership and technical expertise in support of building a technical plan and backlog of stories, and then follow through on execution of design and build process through to production delivery.

  • Guide a broad functional area and lead efforts through the functional team members along with the team's overall planning.

  • Represent engineering in cross-functional team sessions and able to present sound and thoughtful arguments to persuade others. Adapts to the situation and can draw from a range of strategies to influence people in a way that results in agreement or behavior change.

  • Collaborate and partner with product managers, designers, and other engineering groups to conceptualize and build new features and create product descriptions.

  • Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.

  • Assist Support and Operations teams in identifying and quickly resolving production issues.

  • Develop and implement tests for ensuring the quality, performance, and scalability of our application.

  • Actively seek out ways to improve engineering and data standards, tooling, and processes.

  • Supporting the company's commitment to risk management and protecting the integrity and confidentiality of systems and data.

Minimum Qualifications

  • Education and/or experience typically obtained through a Bachelor's degree in computer science or related technical field.

  • Eight or more years of relevant related experience

  • Seven or more years of experience in the development of complex data platform, distributed systems, SaaS, cloud solutions, micro services.

  • Six or more years of experience in the development of Data Warehouse, Big Data - structured & unstructured platforms, real-time & batch processing, data standards.

  • Four or more years of experience in development of Business Intelligent Solutions

  • Two or more years of experience in development / operationalization of Artificial Intelligence / Machine Learning Models / Model development life cycle activities (implementing feature engineering, data pipelines, model operationalization, model monitoring).

  • Demonstrated experience in delivering business-critical systems to the market.

  • Ability to influence and work in a collaborative team environment.

  • Experience designing/developing scalable systems.

  • Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent, Big Data - HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable Frameworks

  • Experience with implementing data science solutions using Python, Spark, PySpark, R, Data Robot.

  • Experience with event-driven architecture and messaging frameworks (Pub/Sub, Kafka, RabbitMQ, etc).

  • Working experience with cloud infrastructure (Google Cloud Platform, AWS, Azure, etc).

  • Knowledge of mature engineering practices (CI/CD, testing, secure coding, etc).

  • Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, LEAN etc) and DevOps practices.

  • Attention to detail

  • Background and drug screen.

Preferred Qualifications

  • MS or PHD

  • Experience using AI/ML Model Frameworks like Tensorflow, Sage Maker, Scikit, PyCharm

  • Big Data Platforms (Cloudera, S3)

  • Database platforms (Oracle, SQL Server) with experience around performance aspects and replication

  • Computer language experience (Python, PySpark, and R)

  • Knowledge of Aerospike, Scality S3, Elastic Search

  • Monitoring and Alerting systems experience (AppDynamics) or other observability measures

  • Knowledge of ACH/EFT

  • Knowledge of real time payment networks (RTP, FedNow)

  • Experience in development / operationalization of Artificial Intelligence / Machine Learning Models / Model development life cycle activities (implementing feature engineering, data pipelines, model operationalization, model monitoring).

  • FinTech experience

  • Kubernetes experience

Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.

Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

The above job description is not intended to be an all-inclusive list of duties and standards of the position.

The base pay scale for this position in:
Phoenix, AZ/ Chicago, IL / Washington, DC in USD per year is: $175,000 - $225,000.
New York, NY/ San Francisco, CA in USD per year is: $210,000 - $270,000.


Additionally, candidates are eligible for a discretionary incentive plan and benefits.

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate's education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

Early Warning Services is an affirmative action and equal opportunity employer.

Some of the Ways We Prioritize Your Health and Happiness

  • Healthcare Coverage-Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.

  • 401(k) Retirement Plan-Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.

  • Paid Time Off -Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.

  • 12 weeks of Paid Parental Leave

  • Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

AndSOmuch more! We continue to enhance our program, so be sure tocheck our Benefits page herefor the latest. Ourteamcan share more during the interview process!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Early Warning Services, LLC ("Early Warning") considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.

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