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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

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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 7, 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:

Advanced Analytics Engineer

Rincon Research Corp

Tucson, AZ • On-site

$101K - $124K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 15 days ago


Job description

Why Join Rincon Research Corporation (RRC)?

At Rincon Research Corporation, our primary business is innovating, developing, and fielding digital signal processing (DSP) products and services for the United States Defense and Intelligence Communities in support of national security.

Rincon Research Corporation (RRC), an employee-owned company, is seeking an experienced Analytics Engineer to advance complex intelligence operations and contribute significantly to our analytical capabilities. This position requires solid intelligence and technical expertise, growing leadership skills, and the ability to work independently on challenging intelligence collection and analysis tasks while supporting both fellow analysts and technical staff. The ideal candidate is a talented, tenacious, results-driven individual to work in a multi-disciplinary R&D environment with similarly motivated electrical engineers, mathematicians, computer scientists, and analysts who are collectively responsible for creating custom digital signal processing solutions and leveraging them to make an operational mission impact.

What are the primary responsibilities for the Analytics Engineer II position?

  • Using familiarity with national intelligence databases, sources, methodologies, and analytical tradecraft, extract data relevant to operational and in-development systems
  • Participate as a member of development teams by offering intelligence operator perspective; provide feedback on CONOPs and tool development
  • Working as a member of a team, provide feedback on system efficacy by analyzing results and comparing to optimal/expected system performance; serve as initial validator for new capabilities
  • Collaborate with program managers, engineers, business development, and mission partners to identify analytical requirements and deliver data-driven solutions.
  • Apply artificial intelligence, machine learning, and automation technologies to improve operational efficiency and analytical workflows.
  • Employ newly-developed systems in support of customer mission objectives

What required background will make you successful?

Education:

  • Bachelor Degree in Electrical Engineering, Computer Engineering, Computer Science, Math or related field.

Experience:

  • Minimum 8 years of experience in signals intelligence, electronic warfare, or related technical analysis field

Technical Analysis Skills:

  • Strong data extraction and pattern recognition abilities
  • Experience with statistical analysis and performance metrics evaluation
  • Experience with data analysis, data visualization, and statistical methods using tools such as Python, SQL, R, or similar analytical environments.
  • Working knowledge of artificial intelligence and machine learning concepts, including the application of generative AI, predictive analytics, or automation to mission or business problems.
  • Familiarity with data engineering and DevOps practices, including version control (Git), CI/CD pipelines, containerization (Docker), and cloud-based development environments.

Intelligence Background:

  • Active TS/SCI security clearance
  • Familiarity with Intelligence Community databases and systems
  • Understanding of intelligence collection methodologies and analytical tradecraft standards
  • Knowledge of operational security considerations

Development & Collaboration:

  • Experience in systems testing and validation
  • Proven ability to provide operational feedback to technical development teams
  • Experience with concepts of operations (CONOPS) development
  • Strong understanding of translating operational requirements into technical specifications

Preferred Qualifications:

  • Experience supporting United States Department of Defense and/or the U.S. Intelligence Community.
  • Background in cross-functional team environments, bridging technical and operational perspectives
  • Experience supporting United States Department of Defense and/or the U.S. Intelligence Community.
  • Experience applying AI/ML techniques to ISR, geospatial intelligence, signals intelligence, or mission planning workflows.
  • Familiarity with Agile, DevSecOps, Model-Based Systems Engineering (MBSE), or Digital Engineering practices.
  • Experience with large language models (LLMs), retrieval-augmented generation (RAG), vector databases, or AI agent frameworks.
  • Professional certifications in relevant technical areas

Where is the position located?
This position is located at our Tucson, AZ office

*The likely salary range for this position is $101,000 to $124,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

What benefits does RRC offer?

  • 100% employer-paid premiums for family medical and dental insurance, employee life insurance, short-term and long-term disability (STD & LTD)
  • Flexible reimbursement spending accounts for medical expense and dependent care
  • Immediate participation and vesting in the company’s Employee Stock Ownership Plan (ESOP) and 401(k) Plan
  • Employer contributions to RRC’s ESOP
  • Employer matching contributions to the company’s 401(k) Plan
  • Employer discretionary contributions to the company’s 401(k) Plan
Rincon Research Corporation is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.