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Insurance Data Processing Jobs in California (NOW HIRING)

Qualitest Group

Data Engineer

Santa Clara, CA · On-site

$110K - $120K/yr

... data processing. -Experience working with modern data management platforms such as Snowflake ... Looking for car insurance? Get access to QualityAI Employee Perks for discounts on anything from ...

Qualitest Group

Data Engineer

Santa Clara, CA · On-site

$110K - $120K/yr

... data processing. -Experience working with modern data management platforms such as Snowflake ... Looking for car insurance? Get access to QualityAI Employee Perks for discounts on anything from ...

Rad AI

Data Engineer

San Francisco, CA · On-site

$145K - $190K/yr

Solid experience with big data processing and analytics on AWS, using services such as Amazon EMR ... Comprehensive Medical, Dental, Vision & Life insurance * HSA (with employer match), FSA, & DCFSA ...

Sutter Health

Insurance Specialist III

Sacramento, CA · Hybrid

$117K - $176K/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

$117K - $176K/yr

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

VSolvit

BUSINESS DATA ANALYST 2

Norco, CA · On-site

$88K - $120K/yr

Develop and maintain recurring data-processing and reporting workflows. * Perform data-quality ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

Sutter Health

Insurance Specialist III

Sacramento, CA · On-site

$117K - $176K/yr

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

Socket.dev

Data Engineer II - Street Data

Redlands, CA · On-site

$80 - $133/hr

You will be responsible for designing, developing, and maintaining ETL processes to transform ... life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum ...

Esri

Data Engineer II - Street Data

Redlands, CA · On-site

$79K - $133K/yr

You will be responsible for designing, developing, and maintaining ETL processes to transform ... life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum ...

Esri

Data Engineer II - Street Data

Redlands, CA · On-site

$80 - $133/hr

Develop and maintain processes to analyze routing requests for data-related errors and collaborate ... life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum ...

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Showing results 21-40

All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in California

Insurance Data Processing information

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 are the key skills and qualifications needed to thrive as an insurance data processing specialist?

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 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

Senior Director, Data Platform Engineering

Lila Sciences

San Francisco, CA • On-site

$79.25 - $106/hr

Full-time

Medical, Dental, Vision, Life

Re-posted 20 days ago

Job description

Your Impact at LILA
Lila is seeking a highly motivated and experienced engineering leader to lead a team responsible for our Lila's product data platform. You will own the data platform and infrastructure end-to-end - architecture, delivery, reliability, and developer/data scientist experience.
Our mission is to deliver Scientific Super Intelligence through a reliable, scalable, and self-service infrastructure for data ingestion, storage, processing, and interaction - enabling AI/ML, product teams, and scientists to build data-intensive applications with confidence and speed. Our platform supports analytical and machine learning workloads across Lila, serving autonomous DBTL cycles, instrument data pipelines, and AI inference workflows.
You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data management and data serving capabilities of our Data Platform. You will work closely with data scientists, data engineers, lab scientists, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies.
What You'll Be Building
  • Team Leadership: Build, mentor, and manage a high-performing team of 30-40 data engineering experts. Evaluate and adopt modern data infrastructure - including real-time streaming (Kafka, Flink), columnar engines (DuckDB, ClickHouse), lake house, and cloud-native object storage architectures; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions.
  • Technical Strategy and Execution: Define and execute the technical roadmap for our data platform, aligning with Lila's overall data strategy; Drive innovation in data Lakehouse and data serving ecosystem exploring new technologies and approaches to improve usability, performance, scalability, and efficiency; Ensure the reliability, availability, and security of our data processing infrastructure.; Collaborate with other engineering teams to integrate our data processing technologies with other Lila systems and services.
  • Stakeholder Management: Partner with data scientists, data engineers, lab scientists, product managers, and other stakeholders to understand their data processing needs and requirements; Communicate technical concepts and solutions effectively to both technical and non-technical audiences; Advocate for best practices in data processing and engineering; Manage expectations and ensure alignment across different teams.
  • Engineering Thought Leadership: Represent Lila's data platform work at external conferences; Deliver presentations, and write blog posts highlighting Lila's leadership in big data processing.
  • Scientist and Engineering Productivity: Drive innovative, agentic, and low-code solutions to deliver data interfaces - exploration, query, analytics, and ML/inference solutions at scale.

What You'll Need to Succeed
  • 12+ years of software development experience, with a focus on data processing at scale. 5+ years of experience leading senior engineers.
  • Experience with building on AWS/GCP primitives like S3 + Athena/BigQuery, and query engines.
  • Operated data platforms at petabyte scale with sub-second query latency requirements.
  • Experience managing data infrastructure supporting 100+ concurrent ML training and inference workloads.
  • Familiarity with LLM/AI-native data patterns - vector stores, embedding pipelines, pre/mid/post training.
  • Track record of building data platforms in high-growth or early-stage environments where speed-to-value mattered as much as long-term architecture.
  • Hands-on coding in Python and modern backend frameworks. Experience with infrastructure-as-code and containerized deployments (Kubernetes).
  • BS, MS, or Ph.D. in Computer Science or a related field of study.

Bonus Points For
  • Thought leadership in the community via presentations in conferences or blog posts.
  • Experience building and growing teams focusing on open source technologies.
  • Scientific data management and quality experience
  • Built self-service data products/platforms where developer experience was a first-class product concern.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$232,000-$346,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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