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

SpaceXAI

Human Data - Engineer

Palo Alto, CA · On-site

$144K - $270K/yr

You sit at the intersection of engineering and data operations: partnering with model teams ... insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For ...

SpaceXAI

Human Data - Engineer

Palo Alto, CA · On-site

$144K - $270K/yr

You will ensure engineering teams get the right data they need-high-quality tasks and evaluations ... insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For ...

Visa

Staff Data Engineer

Foster City, CA · On-site

$146K/yr

As a Staff Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement ... Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the ...

CYNET SYSTEMS

Senior Data Engineer

Dublin, CA · On-site

$93 - $98/hr

Business Intelligence and data access tool knowledge. * Knowledge of software engineering ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

TikTok

Data Engineer, Global Live

San Jose, CA · On-site

$162K - $387K/yr

As a data engineer in the Global Live team, you will have the opportunity to build, optimize and ... Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with ...

Versa Networks

Sr. Data Engineer

Santa Clara, CA · On-site

$150K - $220K/yr

Job Summary We're seeking a highly skilled Data Engineer to design, build, and maintain production ... Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay ...

Versa Networks

Sr. Data Engineer

Santa Clara, CA · On-site

$150K - $220K/yr

Job Summary We're seeking a highly skilled Data Engineer to design, build, and maintain production ... Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay ...

Socket.dev

Staff Data Engineer

Mountain View, CA · On-site

$164 - $282/hr

Partner with Data Science, Engineering, and Product to enable reliable, accurate logging ... Medical/Dental/Vision/Life, AD&D insurance * Flexible Spending Accounts (FSA) & Health Savings ...

Sam's Club

(USA) Principal, Data Engineer

Sunnyvale, CA · On-site

$143K - $286K/yr

... paid life insurance -Paid time off benefits include PTO, parental leave, family care leave ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

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Showing results 41-60

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

Insurance Data Engineer information

See Milpitas, CA salary details

$51.9K

$151.2K

$206.9K

How much do insurance data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for insurance data engineer in Milpitas, CA is $151,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $160,200.00 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 Milpitas, CA?

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

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

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

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

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

Insurance Data Engineer jobs near you

Human Data - Engineer

SpaceXAI

Palo Alto, CA • On-site

$144K - $270K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies

Job description

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

You will ensure engineering teams get the right data they need—high-quality tasks and evaluations—by crafting and executing high-value Human Data projects. You sit at the intersection of engineering and data operations: partnering with model teams, designing projects that capture meaningful signals, and driving data yield and eval lift. This is a hands-on technical role for engineers who deeply understand training and evaluation and want to influence data strategy.

RESPONSIBILITIES:
  • Partner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies.
  • Own end-to-end delivery of critical data and eval projects that capture meaningful training signals and support rapid model development.
  • Build tools and systems to measure data effectiveness (data yield, eval lift, usage), and run evaluations yourself to continuously improve quality.
  • Maintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity.
  • Research, implement, and evaluate techniques for data collection, annotation, generation, and multi-modal integration.
  • Shape Grok's behavior and domain performance through targeted data work.
  • Design and improve annotation workflows, labeling interfaces, and related tools with a focus on data quality and integrity.
  • Act as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing.
  • Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute to demand forecasting; report status, insights, and blockers for rapid decisions.
BASIC QUALIFICATIONS:
  • Bachelor's degree in engineering, computer science, or a related STEM discipline, or 4+ years of experience in lieu of a degree
  • Experience collaborating with cross-functional teams (engineering, research, product, or annotation/operations groups)
  • Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems
PREFERRED SKILLS AND EXPERIENCE:
  • Master's degree or higher in a relevant technical field
  • Direct experience curating, evaluating, or improving training or evaluation datasets for large language models or other AI/ML systems
  • Experience designing, supporting, or optimizing annotation tools, labeling interfaces, or data workflows that prioritize factual accuracy and data integrity
  • Familiarity with multimodal data (text + images, code, or other modalities) or domain-specific data (science, mathematics, programming, recent events, etc.)
  • Experience conducting model or dataset evaluations focused on quality, truthfulness, or alignment with product goals
  • Experience in a scripting language like Python
  • Experience in SQL or other data analysis tools
ADDITIONAL REQUIREMENTS:
  • Weekend work may be required.
  • Travel to other SpaceXAI sites may be required.
COMPENSATION AND BENEFITS:

$144,000 - $270,000 USD

Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

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