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Insurance Data Engineer Jobs in Perris, CA (NOW HIRING)

Overview We are seeking a talented Data Engineer to join our team and play a key role in building ... life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum ...

Overview We are seeking a talented Data Engineer to join our team and play a key role in building ... life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum ...

We are seeking a talented Data Engineer to join our team and play a key role in building world-wide ... life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum ...

BUSINESS DATA ANALYST 1

Norco, CA · On-site

$33.17 - $42.31/hr

Collaborate with analysts, data engineers, and other technical personnel. Required Qualifications ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

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Insurance Data Engineer information

See Perris, CA salary details

$45.4K

$132.3K

$181K

How much do insurance data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for insurance data engineer in Perris, CA is $132,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,200.00 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 Perris, CA?

For Insurance Data Engineer jobs in Perris, CA, the most frequently searched job titles are:

What cities near Perris, CA are hiring for Insurance Data Engineer jobs?

Cities near Perris, CA with the most Insurance Data Engineer job openings:

Data Engineer II - Street Data

Socket.dev

Redlands, CA • On-site

$80 - $133/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Overview

We are seeking a talented Data Engineer to join our team and play a key role in building world-wide street networks. You will be responsible for designing, developing, and maintaining ETL processes to transform street and roadway data into formats optimized for Esri’s core transportation network analysis and routing applications used by millions around the world.

Responsibilities
  • Design, implement, and maintain scalable ETL pipelines for ingesting, transforming, and loading street data from various sources
  • Automate, maintain, and optimize data processing workflows to ensure timely and accurate updates to transportation network datasets
  • Collaborate with data providers, customers, and software engineers to understand data requirements and deliver high-quality solutions
  • Develop and maintain processes to analyze routing requests for data-related errors and collaborate with data providers to ensure issues are corrected in future data updates
  • Document data models, workflows, and best practices
Requirements
  • 2+ years of experience building and maintaining ETL pipelines
  • Proficiency in Python, SQL, and data-processing frameworks or orchestration tools (such as Apache Airflow, Dagster)
  • Strong understanding of relational databases (such as PostgreSQL, SQL Server)
  • Experience with containerization (such as Docker) and CI/CD pipelines
  • Familiarity with version control systems (such as Git)
  • Excellent problem-solving and communication skills
  • Bachelor’s degree in Computer Science, Data Engineering, GIS, or related field
Recommended Qualifications
  • Experience with geospatial data formats
  • Experience with cloud data platforms (such as AWS, Azure) and cloud-based ETL tools
  • Exposure to big data technologies (such as Spark, Hadoop)
  • Knowledge of transportation network modeling and routing algorithms
  • Familiarity with APIs for street data (such as OpenStreetMap, HERE, TomTom)
  • Understanding of data governance, quality, and security best practices

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Total Rewards

Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

A reasonable estimate of the base salary range is

$79,664 - $133,120 USD

The Company

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

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