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Insurance Data Engineer Jobs in Tucson, AZ (NOW HIRING)

Factory Data Analytics Engineer

Tucson, AZ

$108K - $130K/yr

Create and maintain data visualization and statistical analysis tools that increase understanding ... life insurance, short-term disability, long-term disability, 401(k) match, flexible spending ...

Advanced Analytics Engineer

Tucson, AZ · On-site

$101K - $124K/yr

Strong data extraction and pattern recognition abilities * Experience with statistical analysis and ... What benefits does RRC offer? * 100% employer-paid premiums for family medical and dental insurance ...

Test Engineer

Tucson, AZ · On-site

$80K - $95K/yr

Dental insurance * Health insurance * Paid time off * Bonus based on performance * Competitive ... During live tests all relevant data will be collected and test reports submitted. The Quality/Test ...

Software Engineer

Tucson, AZ · On-site

$85K - $152K/yr

You create effective user interfaces and data visualization tools. A key responsibility is staying ... What benefits does RRC offer? * 100% employer-paid premiums for family medical and dental insurance ...

Database/Web Engineer

Tucson, AZ · On-site

$85K - $113K/yr

Core responsibilities include designing and implementing data systems with both web and database ... What benefits does RRC offer? * 100% employer-paid premiums for family medical and dental insurance ...

Senior Engineer

Tucson, AZ

$98K - $135K/yr

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Senior Engineer

Tucson, AZ · On-site

$89K - $123K/yr

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Resident Engineer

Tucson, AZ · On-site

$91K - $117K/yr

Deliver statistical analysis of data on competition, customer direction, product performance ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

New

Quality Engineer

Tucson, AZ · On-site

$61K - $80K/yr

Key responsibilities include performing audits and inspections, analyzing quality data ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays)

Quality Engineer

Tucson, AZ · On-site

$61K - $80K/yr

Key responsibilities include performing audits and inspections, analyzing quality data ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays)

Validation Engineer

Tucson, AZ · On-site

$39 - $42/hr

... validation data, ensuring accuracy, completeness, and adherence to regulatory and internal ... Medical insurance - PPO, HMO & * Dental & Vision insurance * 401k plan * Employee Assistance ...

Sr. Software Engineer

Tucson, AZ · On-site

$190K - $260K/yr

You create effective user interfaces and data visualization tools. You also will provide technical ... What benefits does RRC offer? * 100% employer-paid premiums for family medical and dental insurance ...

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Showing results 1-20

Insurance Data Engineer information

See Tucson, AZ salary details

$42.1K

$122.6K

$167.8K

How much do insurance data engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for insurance data 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.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an Insurance Data Engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Tucson, AZ? For Insurance Data Engineer jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Tucson, AZ look for? The top searched job categories for Insurance Data Engineer jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Insurance Data Engineer jobs? Cities near Tucson, AZ with the most Insurance Data Engineer job openings:

Factory Data Analytics Engineer

Raytheon

Tucson, AZ

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

3rd of 537 rated manufacturers


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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