ZipRecruiter

Log In

1

Insurance Data Processing Jobs in California (NOW HIRING)

Sutter Health

Insurance Specialist III

Sacramento, CA · Hybrid

$114.77K - $172.16K/yr

Advanced knowledge of of commercial property & casualty insurance, data analysis, developing data ... General understanding of healthcare business processes, organization, and workflows. * Exceptional ...

Sutter Health

Insurance Specialist III

Sacramento, CA · On-site

$114.77K - $172.16K/yr

Advanced knowledge of of commercial property & casualty insurance, data analysis, developing data ... General understanding of healthcare business processes, organization, and workflows. * Exceptional ...

Revelyst

Sr. Data Engineer

Irvine, CA

$125K - $150K/yr

Experience with Spark or other big data processing frameworks * Experience with retail and sales ... life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an ...

Amazon

Data Engineer

San Francisco, CA

$134.90K - $162K/yr

Be sure to explore ourInterviewing Guideto learn how to ace our interview process. About the Role ... Insurance - 401(k) - Maternity & Parental Leave - Flexible PTO - Amazon Employee Discount

Amazon

Data Engineer

San Francisco, CA

$134.90K - $162K/yr

Be sure to explore ourInterviewing Guideto learn how to ace our interview process. About the Role ... Insurance - 401(k) - Maternity & Parental Leave - Flexible PTO - Amazon Employee Discount

Revelyst

Sr. Data Engineer

Irvine, CA · On-site

$125K - $150K/yr

Experience with Spark or other big data processing frameworks * Experience with retail and sales ... life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an ...

PayJoy

Staff Data Engineer

San Francisco, CA · On-site

... as insurance for tough times. Through our cutting-edge machine learning, data science, and anti ... Maintain comprehensive documentation of systems, pipelines, and processes for easy onboarding and ...

PayJoy

Staff Data Engineer

San Francisco, CA

... as insurance for tough times. Through our cutting-edge machine learning, data science, and anti ... Maintain comprehensive documentation of systems, pipelines, and processes for easy onboarding and ...

PayJoy

Staff Data Engineer

San Francisco, CA

... as insurance for tough times. Through our cutting-edge machine learning, data science, and anti ... Maintain comprehensive documentation of systems, pipelines, and processes for easy onboarding and ...

TARLANI Healthcare

Data Entry Operator

Montrose, CA

$21 - $23/hr

Accurately enter and update patient, insurance, billing, and related information in EMR systems * Support patient care management through timely data processing and system reporting * Review and ...

Lucid Motors

ADAS Data Engineer

Newark, CA

$154K - $211.75K/yr

Collect, process, and analyze sensor data from camera, LiDAR, and radar systems. Synchronize and ... disability insurance, vacation, and 401k. The successful candidate may also be eligible to ...

next page

Showing results 1-20

People also search for

All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in California

Insurance Data Processing information

What are the key skills and qualifications needed to thrive as an Insurance Data Processing Specialist, and why are they important?

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.

What are some common challenges faced in an Insurance Data Processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is Insurance Data Processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

What are popular job titles related to Insurance Data Processing jobs in California? For Insurance Data Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching Insurance Data Processing jobs in California look for? The top searched job categories for Insurance Data Processing jobs in California are:
What cities in California are hiring for Insurance Data Processing jobs? Cities in California with the most Insurance Data Processing job openings:
Insurance Data Processing jobs near you

Staff Data Scientist - Behavior Evaluation

Zoox

Foster City, CA

$256K - $307K/yr

Full-time

Medical, Life, PTO

Posted 18 days ago

Job description

We are seeking a highly skilled and experienced Staff Data Scientist to join our team and play a pivotal role in developing and deploying cutting-edge autonomous driving technologies. As a Staff Data Scientist, you will be responsible for tackling complex data challenges, driving innovation in machine learning and statistical modeling, and contributing to the advancement of our self-driving systems. You will work closely with a team of talented engineers and researchers in a fast-paced, collaborative environment.
In this role, you will:
  • Analyze large-scale datasets from various sources, such as fleet and simulation data, to extract actionable insights.
  • Develop and evaluate novel algorithms and methodologies for data processing, feature engineering, model training, and performance optimization.
  • Evaluate and validate model performance through rigorous testing and analysis, ensuring the safety and reliability of our systems.
  • Communicate complex technical findings and recommendations to both technical and non-technical audiences.
  • Mentor and provide technical guidance to junior data scientists and engineers.
Qualifications
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field with 8+ years of experience as a Data Scientist.
  • Strong programming skills in Python, including experience with relevant libraries such as scikit-learn, and Pandas & SQL.
  • Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling.
  • Experience working with large-scale datasets and distributed computing platforms (e.g., Spark, Hadoop) with solid understanding of data processing, feature engineering, and data visualization techniques.
  • Strong communication and presentation skills, with the ability to effectively convey technical information to diverse audiences.
Bonus Qualifications
  • Experience working with autonomous driving data and algorithms, robotics, control systems or related fields.
  • Experience with real-time data processing and low-latency systems.
  • Publications in top-tier machine learning or autonomous driving conferences.
$256,000 - $307,000 a year
Base Salary Range
 
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply