ZipRecruiter

Log In

1

Analytics Engineer Jobs in Tucson, AZ (NOW HIRING)

Talon Analytics

Sr Mechanical Engineer

Tucson, AZ · On-site

$89K - $118K/yr

Talon has an office in Tucson, AZ that is providing high fidelity computational models/analysis and technical services support to Fortune 500 companies. We are seeking a Sr. Mechanical Engineer in ...

next page

Showing results 1-20

All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Tucson, AZ

Analytics Engineer information

See Tucson, AZ salary details

$58.9K

$102.8K

$167.7K

How much do analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for analytics engineer in Tucson, AZ is $102,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,774.00 and $115,397.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Tucson, AZ? The most popular types of Analytics Engineer jobs in Tucson, AZ are:
What are popular job titles related to Analytics Engineer jobs in Tucson, AZ? For Analytics Engineer jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Tucson, AZ look for? The top searched job categories for Analytics Engineer jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Analytics Engineer jobs? Cities near Tucson, AZ with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Tucson, AZ as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $102,808 per year, or $49.4 per hour.

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.