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

Senior RF Data Link Engineer

Tucson, AZ · On-site

$86.80 - $165.20/hr

... Engineers with experience designing wireless communication and data links for tactical missile ... Eligible benefits include medical, dental, vision, life insurance, short‑term and long‑term ...

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 ...

Senior Software Engineer

Tucson, AZ · On-site

$117K - $153K/yr

... data analysis. The selected candidate will lead development efforts for both high-performance ... Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and ...

Senior Software Engineer

Tucson, AZ · On-site

$117K - $153K/yr

... data analysis. The selected candidate will lead development efforts for both high-performance ... Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and ...

Senior Software Engineer

Tucson, AZ · On-site

$118 - $153/hr

... data analysis. The selected candidate will lead development efforts for both high-performance ... Outstanding U of A benefits include * health, dental, and vision insurance plans * life 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 · On-site

$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 ...

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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 17, 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.

What is an insurance data engineer?

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.

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:

Senior RF Data Link Engineer

Prattwhitney

Tucson, AZ • On-site

$86.80 - $165.20/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Role Overview

Advanced Effector Guidance Systems at Raytheon is seeking Electrical Engineers with experience designing wireless communication and data links for tactical missile programs. The role focuses on designing, testing, and supporting high‑capacity, covert, and agile data link technologies for both space‑based and terrestrial RF applications.

Key Responsibilities
  • Perform and evaluate concept and performance trade studies, link budget analyses, and demonstrate developed capabilities for data link communication applications.
  • Perform hardware and software communication architecture trade studies.
  • Develop, prototype, and test data link models and communication signal‑processing algorithms in detailed high‑fidelity simulations and support hardware implementation.
  • Collaborate with customers and stakeholders to understand requirements, provide technical support, and manage program delivery schedules.
  • Provide engineering support through participation in project design reviews, peer reviews, and briefings to internal leadership and external customers for all phases of development tasks.
Required Qualifications
  • Minimum of five (5) years of relevant experience.
  • Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM).
  • Five (5) years of experience in programming and/or simulation using MATLAB, SIMULINK, C/C++, or an equivalent language.
  • Experience with communication theory, digital signal processing, probability theory, stochastic signal processing, and RF and electromagnetic theory.
  • U.S. citizenship (required for security clearance).
Preferred Qualifications
  • Master’s degree in electrical or computer engineering focusing on digital communications, communications systems design, data link hardware development, waveform algorithm development, or digital signal processing.
  • Experience with system engineering of RF subsystems and waveform simulations using modulation schemes such as PSK, FSK, OFDM, and QAM.
  • Familiarity with common RF impairments (phase noise, multipath, Doppler), link budget and propagation modeling, RF transceiver and front‑end design tradeoffs, antenna design parameters, fixed‑point algorithm simulations for VHDL verification, and wireless fading model simulation.
  • Knowledge of Layer2 and above protocols.
  • Strong technical and interpersonal skills, ability to prepare documentation with minimal oversight, background in designing for manufacturability, producibility, and cost constraints, and leadership/group management experience.
  • Strong problem‑solving skills with the ability to proactively identify alternate solutions to overcome difficult technical challenges.
Compensation and Benefits

Salary range: $86,800–$165,200USD.

Relocation assistance is available. Eligible benefits include medical, dental, vision, life insurance, short‑term and long‑term disability insurance, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, parental leave, paid time off, and holidays. Specific benefits depend on the business unit and union agreement.

EEO Statement

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, 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 federal law.

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