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

Manufacturing Engineer

CA · On-site

$80K - $82K/yr

Works with the employees responsible for maintenance, insures best practice preventative ... Compiles and evaluates design and test data, prepares technical specifications, and analyzes ...

Life insurance, disability coverage, and wellness programs * Additional employee perks and ... Analyze data using statistical methods to identify trends and improvements * Ensure compliance with ...

Salesforce Engineer

Woodland Hills, CA · Remote

$56.75 - $75.25/hr

... Data Modeling specific to Salesforce * Must have strong hands-on experience in OmniStudio ... Especially in the Healthcare payer/ insurance industry * Any prior experience with other ...

SOFTWARE ENGINEER

Ventura, CA · On-site

$100K - $120K/yr

Knowledge of common data structures and algorithms * Desire and ability to pick up new technologies ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

CLOUD ADVISORY ENGINEER

Ventura, CA · On-site

$175K - $190K/yr

... BI) systems, data warehousing, engineering services, and custom database and application ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

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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:

Quality Engineer

Bruker Nano Surfaces & Metrology

Santa Barbara, CA • On-site

$78K - $140K/yr

Other

Medical, Dental, Life, Retirement, PTO

Posted 7 days ago


Job description

Join a Global Leader in Analytical Instrumentation

Are you passionate about engineering innovation and looking to advance your career with a company at the forefront of analytical instrumentation? Bruker, a world leader in research and development solutions, invites you to join our team in Santa Barbara, CA as an Manufacturing Engineer.

With over 60 years of driving progress and more than 11,000 employees across 90 global locations, Bruker continues to shape industries and improve quality of life worldwide.

Bruker Nano, one of our four operating segments, empowers customers in academia, government, life sciences, and applied industries with the tools to uncover the properties of matter and visualize molecular structures. Our divisions span Nano Analytics, Nano Surfaces & Metrology, Fluorescence Microscopy, and Spatial Biology.

As a Quality Engineer at Bruker AFM, you’ll play a pivotal role in quality engineering, improving processes and being a key part of the manufacturing engineering team. If you’re ready to make a significant impact we encourage you to apply and become part of our innovative family.

General:

  • Following company policies and processes
  • Initiating and supporting continuous improvement activities
  • Creating metrics and reports as required
  • Documenting and improving Quality Processes
  • Training new employees on Quality Processes
  • Guiding process users and answering questions
  • Ensuring compliance with internal and external standards where applicable
  • Approving Engineering Change Orders for Quality Engineering
  • Participating in NPI projects as a core team member
  • Supporting Manufacturing Engineering projects as needed
  • Performing other functional duties as assigned by the supervisor
  • Supporting Global Supply-chain Management (GSM) department on vendor selection and performance activities
  • Supporting Receiving Inspection activities, answering their questions regarding processes, parts, design intents, drawings, inspection techniques, sampling plans and SAP QM transactions

Non-Conforming Material (NCM) and Material Review Board (MRB):

  • Owning the process, documentation, and PLM tool
  • Processing NCM data into databases (SAP)
  • Managing Material Review Board (MRB) activities
  • Managing MRB room inventory
  • Managing MRB metrics and reports
  • Ensuring on-time disposition of NCM records and NCM material
  • Ensuring NCM data integrity and compliance with internal and external standards, policies and procedures

Supplier Deviation Request (SDR):

  • Owning the process, documentation, and PLM tool
  • Approving SDRs
  • Monitoring and maintaining SDR process, work instructions, and PLM database
  • Managing SDR metrics and reports
  • Ensuring on-time disposition of SDRs
  • Ensuring SDR data integrity and compliance with internal and external standards, policies and procedures

Quality Information Records (QIR)

  • Owning the process, documentation, and PLM tool
  • Creating and maintaining Quality Inspection Plans in SAP
  • Creating and updating QIR in SAP
  • Ensuring SAP quality plans’ functionality and accuracy
  • Preventing QIR and Quality Lot errors in SAP
  • Working with manufacturing engineers and receiving inspectors to maintain quality plans and QIRs

First Article Inspection (FAI):

  • Owning the process, documentation, and PLM tool
  • Creating FAI requirements on FAI forms
  • Reviewing and approve FAI results
  • Managing FAI metrics and reports
  • Ensuring on-time disposition of FAI results

Out of Box Quality (OBQ):

  • Owning the process, documentation, and PLM tool
  • Chairing the OBQ board meetings
  • Managing the OBQ action items
  • Manage OBQ metrics

EDUCATIONAL/EXPERIENCE REQUIREMENTS:

BS in Engineering

Minimum of 3 years Quality Engineering experience

At Bruker, base salary is part of our total compensation. The estimated base salary range for this full-time position is between $78,000 and $140,000. You will have the ability to progress as you grow and develop within a role. The base salary for the role will depend on several job-related factors, including, but not limited to education, training, experience, the geographic location of the successful candidate, skills, competencies, job-related knowledge and travel requirements for this position. Full-time employees may also be eligible for a performance-related incentive in addition to a full range of benefits including 401(k) with company match, an employee stock purchase plan, medical and dental plans, life insurance, short-term and long-term disability insurance, employee assistance program and paid time off including vacation, sick time and holidays, and more.

Bruker is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Certain positions at Bruker require compliance with export control laws and a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions.