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Insurance Data Engineer Jobs in Los Angeles, CA (NOW HIRING)

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Data Engineer III Location: Irvine, CA Work Type: Full-time Department: IT Infrastructure ... Excellent Benefits to include Medical, Dental, Vision, Life Insurance, FSA's, 401(k)/Profit Sharing ...

In-N-Out Burgers

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Excellent Benefits to include Medical, Dental, Vision, Life Insurance, FSA's, 401(k)/Profit Sharing ... Minimum 5+ years' experience in a Data Engineering role. * Strong experience with enterprise ...

Planet DDS

Data Engineer IV

Irvine, CA

$122K - $147K/yr

Overview The Data Engineer IV will design and lead the build-out of Planet DDS's next-generation ... Life and AD&D insurance * Short-Term and Long-Term Disability * FTO or Vacation * Sick Time

Aioi USA & MOTER Tech

Senior Data Engineer

Torrance, CA · On-site

$109K - $149K/yr

MOTER is modernizing the insurance industry by equipping insurers with real-time vehicle insights ... Job Overview The Senior Data Engineer reports to the VP of Engineering and is responsible for ...

Aioi USA & MOTER Tech

Senior Data Engineer

Torrance, CA · On-site

$109K - $149K/yr

MOTER is modernizing the insurance industry by equipping insurers with real-time vehicle insights ... Job Overview The Senior Data Engineer reports to the VP of Engineering and is responsible for ...

Crexi

Senior Data Engineer

Los Angeles, CA · On-site +1

$158K - $214K/yr

The Senior Data Engineer owns the design and delivery of robust, scalable data pipelines, models ... Medical, dental, and vision insurance, 401(k), FSA/HSA options, and Life & AD&D insurance. * Set up ...

Crunchyroll, LLC

Data Engineer III

Los Angeles, CA · Hybrid

$123K - $148K/yr

The Data Engineering team provides seamless help to our internal stakeholders, ensuring an ... Pet insurance and some of our offices are pet friendly! #LifeAtCrunchyroll #LI-Hybrid

Crexi

Senior Data Engineer

Los Angeles, CA · On-site

$158K - $214K/yr

The Senior Data Engineer owns the design and delivery of robust, scalable data pipelines, models ... Medical, dental, and vision insurance, 401(k), FSA/HSA options, and Life & AD&D insurance. * Set up ...

Zefr, Inc

Senior Data Engineer

Marina Del Rey, CA · On-site

$160K - $190K/yr

We are looking for a passionate data engineer to collaborate and grow alongside our experienced ... Medical, dental, and vision insurance with FSA options * Company-paid life insurance * Paid ...

Crunchyroll, LLC

Data Engineer III

Los Angeles, CA · On-site

$123K - $148K/yr

Pet insurance and some of our offices are pet friendly! #LifeAtCrunchyroll #LI-Hybrid The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to ...

Herbalife

Data Engineer III

Torrance, CA

$120K - $144K/yr

The Data Engineer role is responsible for data modelling, design, optimization, security and ... Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating ...

Herbalife

Data Engineer III

Torrance, CA

$120K - $144K/yr

The Data Engineer role is responsible for data modelling, design, optimization, security and ... Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating ...

Herbalife

Data Engineer III

Torrance, CA · On-site

$120K - $144K/yr

The Data Engineer role is responsible for data modelling, design, optimization, security and ... Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating ...

Versant Media

Senior Data Engineer

North Hollywood, CA · Hybrid

$113K - $154K/yr

The Data Engineering team is seeking a Senior Data Engineer to help design, build, and scale the ... insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks.

Amazon

Data Engineer, Ring Agent Platforms

Hawthorne, CA · On-site

$116K - $139K/yr

We are looking for a Data Engineer to design, build, and operate the data pipelines, models, and ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Los Angeles, CA

Insurance Data Engineer information

See Los Angeles, CA salary details

$47.9K

$139.8K

$191.3K

How much do insurance data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for insurance data engineer in Los Angeles, CA is $139,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,400.00 and $148,200.00 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 Los Angeles, CA?

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

What job categories do people searching Insurance Data Engineer jobs in Los Angeles, CA look for?

The top searched job categories for Insurance Data Engineer jobs in Los Angeles, CA are:

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

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

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $139,771 per year, or $67.2 per hour.

Data Engineer III

Irvine, CA • On-site

In-N-Out Burger
Restaurants • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 539 frontline employees who took The Breakroom Quiz

1st of 107 rated fast food restaurants

Free food

Great coworkers

People enjoy working here

Learn more about In-N-Out Burgerexternal

$134K - $161K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 25 days ago

Job description

Name:
Data Engineer III
Location: Irvine, CA
Work Type:
Full-time
Department:
IT Infrastructure
Description & Requirements
Come join our family at In-N-Out Burgers!
We have an excellent opportunity for a full-time Data Engineer III in the I.T. department in our Irvine, CA office. This role operates in a highly collaborative environment where Data Engineers work across data integration, development, data platform operations, and business intelligence teams to support and implement reporting and analytics used by In-N-Out Burger.
*This position is full-time in-office only. Ideal candidates can start work in Irvine, CA and are open to being based out of San Dimas, CA by 2027.
General Responsibilities:
  • Design, build and maintain data architectures, integrations and pipelines that align with business and technical requirements.
  • Develop reliable data sets, data models and curated data layers to support analytics, reporting, dashboard and business intelligence solutions.
  • Partner with the analytics team and business stakeholders to design and deliver curated datasets that enable reporting, data visualizations, self-service analytics and data-driven decision-making.
  • Identify opportunities to improve data reliability, efficiency, scalability and overall data quality.
  • Builds and supports API integrations to handle increasing data volume, system complexity and business demand.
  • Engineer scalable data pipelines and curated data layers that integrate, transform, and standardize complex data from disparate source systems to meet business, analytical and technical requirements.
  • Implement data quality monitoring, validation, and control processes to ensure production data is accurate, complete, timely, and reliable for business users, reporting, analytics and downstream processes.
  • Perform data analysis to troubleshoot data related issues, identify root causes and assist with issue resolution.
  • Work closely with frontend engineers, backend engineers, product managers, analysts, and business teams to support long-term data platform strategy.
  • Monitor performance of data pipelines, integrations, data flows and SQL based systems.
  • Optimize SQL and PL/SQL workloads, transformation processes, and data flows to support scalable analytics, integration, and reporting solutions.
  • Document data pipelines, source-to-target mappings, business rules, transformation logic and operational processes.
  • Maintain confidentiality and security of sensitive, confidential, and business critical data.

Work Schedule + Benefits:
  • Full-time position, Exempt
  • Office Hours: Monday-Friday, 8:00 am-5:00 pm; occasional work outside of standard business hours may be required
  • Department needs may require occasional overtime
  • Pay Range: $134,000 to $161,000 annualized salary, plus bonus
  • The above represents the expected pay range for this job requisition. Ultimately, in determining your pay, we will consider your experience and other job-related factors.
  • Excellent Benefits to include Medical, Dental, Vision, Life Insurance, FSA's, 401(k)/Profit Sharing Plan, Adoption Assistance, Education Reimbursement, Supplemental Health Plans and Pet Insurance

Required Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Analytics or related fields is required.
  • Minimum 5+ years' experience in a Data Engineering role.
  • Strong experience with enterprise relational database platforms (Oracle strongly preferred).
  • Advanced proficiency in SQL, PL/SQL, and Python; exposure to modern data engineering tools and distributed processing frameworks such as Spark is highly desirable.
  • Experience working with relational databases and large-scale data sets.
  • Experience designing, developing, and maintaining data pipelines, integrations, and data models.
  • Experience integrating data from multiple source systems, including applications, APIs, databases and flat files.
  • Understanding of data warehousing concepts, dimensional modeling, data marts, and analytical reporting structures.
  • Ability to analyze complex data issues and troubleshoot data discrepancies across systems.
  • Strong understanding of ETL/ELT processes and data integration best practices.
  • Ability to work with both technical and non-technical stakeholders.
  • Ability to manage multiple projects and priorities.
  • Strong communication, documentation, and problem-solving skills.
  • Highly motivated and enjoys working through and solving complex problems.
  • Extremely detail oriented and passionate about work quality.
  • Proactive self-starter; action oriented.
  • Ability to independently and reliably manage a heavy workload in a fast-paced environment.

Preferred Qualifications:
  • Experience with Oracle databases, SQL, and PL/SQL.
  • Experience with Oracle Cloud, Oracle Fusion, ADW, ATP, OAC, FDI, OCI Data Integration, AIDP Workbench, or Object Storage.
  • Oracle Golden Gate.
  • Experience with data warehouse, Lakehouse, or medallion architecture patterns.
  • Experience with cloud-based data platforms and modern data engineering tools.
  • Experience supporting business intelligence tools such as Tableau, Power BI, Oracle Analytics Cloud, or similar platforms.
  • Experience with performance tuning for high-volume data environments.
  • Experience with data governance, security, access controls, and sensitive data handling.

Work Location Details
In-N-Out Burger plans to bring its west coast headquarters team back together under one roof by the end of 2029. After maintaining two Southern California office locations for many years, the company will permanently close its Irvine office in 2029 and once again headquarter the company's western territory solely in Baldwin Park, California, where the company was founded in 1948.
Newly hired Associates in Irvine will be eligible to participate in the group move to Tennessee with relocation assistance or work from our western headquarters in Baldwin Park, CA, upon its opening in 2029. We are sharing this information early so candidates can make informed decisions while considering a career with In-N-Out Burger.
ABOUT In-N-Out Burgers
In-N-Out Burgers was founded in 1948 by Harry and Esther Snyder in Baldwin Park, California, and remains privately owned and operated. Under the direction of the Snyder family, the company has opened restaurants throughout California, Nevada, Arizona, Utah, Texas, Oregon, Colorado, Washington, Idaho, and Tennessee. In-N-Out's menu has remained the same since 1948, and we have maintained a simple philosophy - serve only the highest quality product, prepare it in a clean and sparkling environment, and serve it in a warm and friendly manner. We have built a reputation for fresh, made-to-order foods prepared and served by friendly, well trained Associates. In-N-Out offers a competitive salary and comprehensive benefit package. We are an Equal Opportunity Employer by choice. Should there be a need, In-N-Out will provide a reasonable accommodation to complete the interview process upon request.

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