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Manager Data Analytics Engineer Jobs in Tucson, AZ

Manager IT/ AI

Marana, AZ · On-site

$105K - $130K/yr

The IT and AI Manager - Data, Analytics & Agentic AI is responsible for leading a multidisciplinary ... Direct AI agent development and orchestration, including use‑case design, prompt engineering ...

The IT and AI Manager Data, Analytics & Agentic AI is responsible for leading a multidisciplinary ... Direct AI agent development and orchestration, including usecase design, prompt engineering, agent ...

Talon is a small business engineering firm providing innovative, end-to-end, rapid-turn solutions ... Proficiency in relevant tools such as ERP systems, data analytics software, and testing frameworks.

Talon is a small business engineering firm providing innovative, end-to-end, rapid-turn solutions ... Proficiency in relevant tools such as ERP systems, data analytics software, and testing frameworks.

Raytheon brings the strength of more than 100 years of experience and renowned engineering ... We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do

Raytheon brings the strength of more than 100 years of experience and renowned engineering ... We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do

Raytheon brings the strength of more than 100 years of experience and renowned engineering ... We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do

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Manager Data Analytics Engineer information

See Tucson, AZ salary details

$42.1K

$122.6K

$167.8K

How much do manager data analytics engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for manager data analytics engineer in Tucson, AZ is $122,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $130,000.00 per year, depending on experience, location, and employer.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Tucson, AZ? The most popular types of Data Analytics Engineer jobs in Tucson, AZ are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Tucson, AZ? For Manager Data Analytics Engineer jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Tucson, AZ look for? The top searched job categories for Manager Data Analytics Engineer jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Manager Data Analytics Engineer jobs? Cities near Tucson, AZ with the most Manager Data Analytics Engineer job openings:

Factory Data Analytics Engineer

Raytheon Technologies

Tucson, AZ • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Date Posted:
2026-07-09
Country:
United States of America
Location:
US-AZ-TUCSON-M10 ~ 3360 E Hemisphere Loop ~ BLDG M10
Position Role Type:
Hybrid
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance: Secret
Security Clearance Status:
Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date
At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.
What You Will Do:
  • Create and maintain data visualization and statistical analysis tools that increase understanding of factory data.
  • Write scripts to convert non-standard test data (excel, access, text, etc.) into a standardized text-based format.
  • Work with customers to ensure their data is used to reduce process variation and improve factory test yields.
  • Experience with factory test data, supporting Raytheon Missiles and Defense program needs as required in a fast-paced, multi-task work
  • Use agile software development methods, provide imaginative, thorough, and practicable solutions to a wide range of difficult technical problems.
  • Travel to factories in Tucson, AZ

Qualifications You Must Have:
  • Typically requires a University degree or equivalent experience and a minimum of 5 years of prior relevant experience or an Advanced Degree in a related field and minimum 3 years experience.
  • Experience with at least one programming language (e.g., Python, Perl, C, C++, C#, Java etc).
  • Experience with web application development.
  • The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer:
  • Python based data inquiry (Pandas, NumPy, Scikit-learn, Matplotlib, etc)
  • Exposure to statistical methods and tools such as: Minitab, R, JMP, or SAS, etc.
  • Proven knowledge of database design and software architecture principles
  • Strong understanding of MSSQL, MariaDB or ANSI standard SQL
  • Experience with lean manufacturing, Core/Six Sigma, and statistical process control
  • Angular/React/jQuery or similar JavaScript-based framework
  • CompTIA Security+ certification

What We Offer:
Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.
Learn More & Apply Now!
Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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