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

Provide expert consultant electrical engineering advice to our clients in the data center space ... These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid ...

DATA SCIENTIST II

Norco, CA ยท On-site

$115 - $130/hr

Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

DATA SCIENTIST II

Norco, CA ยท On-site

$115K - $130K/yr

Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

Bachelor's degree in computer science, engineering, GIS, data science, network science, mathematics ... life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum ...

SYSTEMS ENGINEER II

Norco, CA ยท On-site

$85K - $120K/yr

Integrate failure, maintenance, and operational data from multiple sources. * Develop and maintain ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

Integrate failure, maintenance, and operational data from multiple sources. * Develop and maintain ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

Showing results 21-40

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 Aug 8, 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.

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 cities near Perris, CA are hiring for Insurance Data Engineer jobs? Cities near Perris, CA with the most Insurance Data Engineer job openings:

DATA ANALYST ENGINEER I with Security Clearance

VSolvit

Norco, CA โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 24 days ago


Job description

**Position is ON SITE in Norco, CA** Job Summary: The Data Analyst Engineer I will provide critical support to Navy operations by developing, maintaining, and enhancing data visualization, reporting, and collaboration platforms. This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint to deliver actionable insights, automate reporting processes, and streamline workflows across teams. The ideal candidate will be a self-motivated individual with strong analytical skills, capable of transforming raw data into clear, value-added reports that improve decision-making and operational effectiveness. This position requires the ability to work in a fast-paced environment and proactively solve problems while supporting mission-critical Navy requirements. As with any position, additional expectations exist. Some of these include, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), staying focused on the assigned tasks, and completing other tasks as assigned Responsibilities: * Develop, design, and maintain interactive dashboards and reports in Power BI, Tableau, and Splunk to support leadership decision-making
* Build and manage SharePoint sites to enhance collaboration, document sharing, and workflow efficiency
* Perform advanced data analysis, including cleaning, structuring, and interpreting large datasets to identify trends and provide actionable recommendations
* Automate recurring reporting processes and data pipelines to improve accuracy and reduce manual effort
* Collaborate with stakeholders to understand requirements and deliver tailored data-driven solutions
* Integrate data from multiple sources, ensuring consistency, accuracy, and security in reports and dashboards
* Provide ongoing monitoring, troubleshooting, and improvement of existing dashboards and platforms
* Recommend and implement workflow improvements, applying independent judgment to enhance performance and system stability
* Document reporting logic, processes, and system configurations for transparency and repeatability
* Support Navy compliance and security requirements when handling and presenting sensitive data Basic Qualifications: * Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, or a related field
* 0-2 years of experience in data analytics, business intelligence, or a related technical role
* Proficiency with Power BI, Tableau, Splunk, and SharePoint
* Strong SQL and database query skills, with the ability to handle large datasets
* Demonstrated ability to automate data workflows and reporting pipelines
* Excellent problem-solving skills with strong attention to detail
* Effective written and verbal communication skills for both technical and non-technical audiences
* Must be a U.S Citizen
* Must be able to obtain and maintain Secret level clearance
* If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment with VSolvit is offered Preferred Qualifications: * Master's degree in Data Analytics, Information Systems, or related technical discipline
* 2-4 years of professional experience in data analytics, preferably within defense or government environments
* Familiarity with Navy systems, compliance standards, and data security practices
* Knowledge of scripting languages (Python, R, or similar) for advanced data processing and automation
* Prior experience in workflow analysis and systems improvement to enhance stability and performance
* Active DoD Secret clearance Company Summary: Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team. VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.