1

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

Data Engineer I

Phoenix, AZ · On-site

$113K - $136K/yr

Comprehensive medical, dental, vision, life insurance, and disability benefits * Flexible working ... Strong programming skills in Python and experience with Apache Spark * Strong understanding of data ...

New

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the ... health insurance, and a competitive benefits package * Work in a supportive, collaborative ...

Partner with engineering teams to support their detailed solutions and implementation through ... Experience with Guidewire Insurance Suite data * Azure Solutions Architect certification (nice-to ...

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineering ETL processes data wrangling and feature engineering * Insurance Reinsurance Domain Knowledge Exposure to actuarial models risk assessment and claims analytics Technical Skills: * R ...

Data Center Infrastructure Engineer We are seeking an experienced Data Center Infrastructure ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Data Center Infrastructure Engineer We are seeking an experienced Data Center Infrastructure ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

-We are seeking experienced Data Center Infrastructure Design Engineers to support the design ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Showing results 21-40

Insurance Data Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do insurance data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for insurance data engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 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 Phoenix, AZ?

For Insurance Data Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Insurance Data Engineer jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Insurance Data Engineer jobs?

Cities near Phoenix, AZ with the most Insurance Data Engineer job openings:

Infographic showing various Insurance Data Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New


American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

23rd of 150 rated financial services


Job description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

Global Commercial Services (GCS) serves millions of business customers around the world, from mom-and-pop shops to approximately 70% of the S&P 500. We are the number one issuer of small business cards, the industry leader in corporate T&E and represent approximately 40% of the company's total revenues. Our vision is to be essential to our customers' businesses every day. We do that by offering a diverse suite of payment and cashflow tools our customers need to run and grow their businesses, from a wide range of traditional card products, to working capital and supply chain financing, to new digital solutions that make it easy for our customers to manage their financial and payment needs.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • Competitive base salaries
  • Bonus incentives
  • 6% Company Match on retirement savings plan
  • Free financial coaching and financial well-being support
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers - Click to view the "Know Your Rights" poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.


The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
  • Bachelor's or master's degree in computer science, Engineering, or related field and 3+ years of experience
  • Strong programming skills in Python and experience with Apache Spark
  • Strong understanding of data modeling, schema evolution, and data lifecycle management
  • Proven experience building reliable ETL/ELT pipelines in production environments
  • Hands-on experience with data quality frameworks
  • Experience implementing data governance principles (cataloging, lineage, metadata management, access control)
  • Experience with cloud data platforms (At least one of AWS, Azure, or GCP)
  • Experience with RestAPI implementation
  • Experience supporting ML pipelines with a focus on data validation, feature stores with be an added advantage
  • Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
  • Design and build scalable, fault-tolerant data pipelines using Apache Spark and Python
  • Establish and enforce data governance frameworks, including data quality rules, lineage, cataloging, and access controls.
  • Implement data reliability practices such as validation checks, anomaly detection, SLAs/SLOs, and automated alerting.
  • Develop and maintain automated data workflows using orchestration tools (e.g., Airflow)
  • Implement necessary backend and data solutions to help automate data journeys and implement governance roadmap
  • Partner with stakeholders to define data contracts, schemas, and standards across domains
  • Enable end-to-end observability of data pipelines (freshness, completeness, accuracy)
  • Support machine learning pipelines, including feature engineering, training data validation, and monitoring model input/output data quality
  • Document data assets, lineage, and governance policies to improve discoverability and trust

What American Express employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom