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

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 Design Engineer Chandler, AZ Hybrid (3 Days in 2 Days remote) 12-24 Month Contract ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Partner with software engineers, data engineers, product managers, and subject-matter experts ... World-class and affordable insurance plans ensure you and your family stay healthy Secure Your ...

Partner with software engineers, data engineers, product managers, and subject-matter experts ... World-class and affordable insurance plans ensure you and your family stay healthy Secure Your ...

Partner with software engineers, data engineers, product managers, and subject-matter experts ... World-class and affordable insurance plans ensure you and your family stay healthy Secure Your ...

A bachelor's degree or 3+ years commensurate experience * 3+ years of work experience in operations, health insurance, data analysis, engineering and/or consulting * 2+ years of experience using data ...

Showing results 41-60

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 Sep 3, 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.

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 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.

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, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

30 OPENINGS | SOFTWARE/CLOUD/DATA | FBI PROGRAM | RELOCATION with Security Clearance

Kforce Federal Solutions

Chandler Heights, AZ • On-site

$60 - $78/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Key responsibilities

  • Relocate to Huntsville, Alabama if not local, and participate in onsite work at Redstone Arsenal.

  • Engage in activities related to cloud development, including deploying and managing AWS infrastructure using tools like CloudFormation, Terraform, and CI/CD pipelines.

  • Support the deployment, configuration, and maintenance of cloud-based applications and services, including Lambda, Kubernetes, Docker, and related AWS services.


Job description

Note: This role would require relocating if not local to Huntsville, Alabama (#1 Place to Live) ***One Round Interview / faster offers! *** Start 3-4 weeks*** Location: Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours)
Clearance: Active Top Secret Required
Employment Type: W2 Consultant (Kforce)
Benefits: Medical, Dental, Vision, 401(k), and more
Relocation Package: Yes Apply Today! or
Contact Recruiter Directly:
Brenton Anderson
Email:
LinkedIn: https://www.linkedin.com/in/myitrecruiterbrenton/ ➡️Cloud Developer – 6+ YOE
Skills: CloudFormation, Terraform, AWS, Model Deployment, Lambda, CI/CD, GitLab, Kubernetes, Docker ➡️Cloud Developer – 8+ YOE
Skills: AWS, Patching, CloudFormation, ALBs, Encryption, Terraform, Ansible, Packer, GitLab CI/CD, Docker/Podman, Grafana, Kafka, Ansible Automation Platform, Splunk Index Configuration, Lambda, SNS, Kubernetes, S3, IAM, Route 53, EventBridge, Data Lifecycle Manager, Systems Manager, CloudWatch, CloudTrail, Security Hub, Inspector, Trusted Advisor, ECS, EKS ➡️Cloud Developer – 10+ YOE
Skills: Advanced AWS Infrastructure, Patching, CloudFormation, ALBs, Encryption, Terraform, Ansible, Packer, GitLab CI/CD, Docker/Podman, Grafana, Kafka, Ansible Automation Platform, Splunk Index Configuration, Lambda, SNS, Kubernetes, S3, IAM, Route 53, EventBridge, Recycle Bin, Data Lifecycle Manager, Systems Manager, CloudWatch, CloudTrail, Security Hub, Inspector, Trusted Advisor, ECS, EKS; Nice: Prior Sys Admin Experience ➡️Data Analyst – 10+ YOE
Skills: Python, SQL, Exploratory Data Analysis, GitLab, Data Documentation, Power BI, Requirements Gathering
Data Engineer – 8+ YOE
Skills: ETL, Informatica, Linux ➡️Data Engineer– 8+ YOE
Skills: NiFi, Java, AWS, ETL, Spark, Scala, SQL, PL/SQL, Linux, Data Pipelines; Nice: Agile, Maven, GitLab
Data Scientist / Data Engineer – 8+ YOE
Skills: Python, Java or Scala, AWS, Natural Language Processing (NLP), Machine Learning, Statistical Analysis & Model Evaluation, Git, GitLab CI/CD ➡️Developer– 8+ YOE
Skills: Java, Spring Boot, Angular, Python, AWS ➡️DevOps Engineer – 6+ YOE
Skills: AWS, Docker, Application Load Balancers (ALB), Terraform, CloudFormation, Databricks, AWS Redis, Spring Boot, PKI ➡️DevOps Engineer – 8+ YOE
Skills: AWS, Docker, Application Load Balancers (ALB), Terraform, CloudFormation, Databricks, AWS Redis, Spring Boot, PKI ➡️Solutions Architect – 8+ YOE
Skills: ElasticSearch/OpenSearch, Cluster Deployment & Configuration, Backup & Recovery, Cluster Monitoring, Indexing, AWS, Application Load Balancers (ALB); Nice: Java ➡️Software Developer – 6+ YOE
Skills: Java, AWS, Spring Boot, PostgreSQL (AWS RDS), Redis, PKI/SSL, DynamoDB, OpenSearch, Keycloak ➡️Software Engineer – 8+ YOE
Skills: Java, AWS, Spring Boot, PostgreSQL (AWS RDS), Redis, PKI/SSL, DynamoDB, OpenSearch, Keycloak ➡️Software Engineer – 8+ YOE
Skills: Java, Spring Boot, REST APIs, Microservices, GitLab CI/CD ➡️Software Engineer – 8+ YOE
Skills: Java, Spring Boot, Angular, Python, AWS ➡️Software Engineer – 10+ YOE
Skills: Java, Microservices, Spring Boot, Docker, Python, Terraform, GitLab; Nice: Terragrunt, Agile, Maven The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.