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

American Homes 4 Rent

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts ...

Amh

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts ...

True Classic

Data & Analytics Engineer

Calabasas, CA

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform ... Company-paid medical, dental, and vision insurance * $100/month Health & Wellness stipend * Free ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform ... Company-paid medical, dental, and vision insurance * $100/month Health & Wellness stipend * Free ...

ClifyX

Data Modeler with MISMO experience

Westlake Village, CA · On-site

$57.50 - $74.50/hr

... Insurance Mandatory: Mortgage associates experienced in Servicing domain specifically Active ... Collaborate closely with Product Owners, data engineers, analysts, and business stakeholders to ...

Pennymac

Senior Database Developer

Westlake Village, CA · On-site

$90K - $150K/yr

Create entity relationship diagrams, data dictionaries and mapping documents * Utilize advanced ... Retirement benefits, life insurance, 401k match, and tuition reimbursement * Philanthropy Programs ...

United IT Solutions

ETL QA Engineer

Calabasas, CA · On-site

ETL QA Engineer Woodland Hills, Los Angeles, CA Must Have Technical/Functional Skills Agile & Scrum ... casualty insurance) Collaborate with Business SMEs to ensure data meaning is preserved after ...

Amh

Enterprise Data Analyst

Calabasas, CA

$91K - $114K/yr

Works cross-functionally with internal teams (e.g., finance and engineering) to support data ... insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts ...

Actalent

Test Engineer

Simi Valley, CA

$43 - $55/hr

Set up and operate test equipment, data acquisition systems, and instrumentation to evaluate ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Oxnard, CA

Insurance Data Engineer information

See Oxnard, CA salary details

$47.1K

$137.4K

$188K

How much do insurance data engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for insurance data engineer in Oxnard, CA is $137,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,600.00 per year, depending on experience, location, and employer.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Oxnard, CA? For Insurance Data Engineer jobs in Oxnard, CA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Oxnard, CA look for? The top searched job categories for Insurance Data Engineer jobs in Oxnard, CA are:
What cities near Oxnard, CA are hiring for Insurance Data Engineer jobs? Cities near Oxnard, CA with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

American Homes 4 Rent

Calabasas, CA • On-site

$122K - $151K/yr

Full-time

Dental, Vision, Retirement, PTO

Posted 2 days ago

American Homes 4 Rent rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

8th of 156 rated real estate companies

Job description

Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work®. At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life.
The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions.
Responsibilities:
  • Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API's. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.
  • Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.
  • Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.
  • Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).

Requirements:
  • Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.
  • Master's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.
  • Minimum of eight (8) years of experience as a data engineer with full-stack capabilities
  • Minimum of ten (10) years of Experience in programming
  • Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.
  • Strong SQL Knowledge
  • Experience in ML and ML Pipeline a plus
  • Experience in real-time integration, developing intelligent apps and data products.
  • Proficiency in Python and experience with CI/CD practices
  • Strong background in IAAS platforms and infrastructure
  • Hands-on experience with Databricks, Spark, Fabric, or similar technologies
  • Experience in Agile methodologies
  • Hands-on experience in the design and development of data pipelines and data products
  • Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.
  • Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
  • Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.
  • Extensive experience in designing data applications in a cloud environment.
  • Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.
  • Extensive experience in Data Architecture and data modeling
  • Expert in data analysis and data quality frameworks.
  • Knowledgeable with BI tools such as Power BI and Tableau.
  • May occasionally work evenings and/or weekends.

Compensation
The anticipated pay range/scale for this position is $122,573.13 to $151,395.00 Annually. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience.
Additional Compensation
This position is eligible to receive a discretionary annual bonus.
Perks and Benefits
Employees also have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and a tuition reimbursement program. The Company provides 9 paid holidays per year, and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year.
Background Check
Background check required. AMH will consider for employment qualified applicants with arrest or conviction records in accordance with all applicable federal, state and local laws, which may include the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
CA Privacy Notice: To learn more about what information we collect when you apply for a job, and how we use that information, please see our CA Job Applicant Privacy Notice found at https://www.amh.com/ca-privacy-notice.
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