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Best Paying Programming Jobs in California (NOW HIRING)

Onos

Lead Engineer (Data/Integrations)

San Francisco, CA · On-site

$200K - $250K/yr

Establish engineering best practices and technical foundations for future team growth Technical Challenges At Onos: * Build a payer integration framework that makes each new national and regional ...

Fay

Software Engineer

San Francisco, CA · On-site

$185K - $250K/yr

Today, Fay is a three-sided marketplace connecting providers, patients, and payers to revolutionize ... We use the best tool for the job at hand, and we've leaned into AI-driven development in all of the ...

Onos

Senior Software Engineer (AI)

San Francisco, CA · On-site

$200K - $250K/yr

Our models enables payers to make faster, more accurate decisions across their populations. By ... Onos is well-funded by some of the best healthcare investors and is working with the nation ...

Onos

Lead Engineer (Backend)

San Francisco, CA · On-site

$200K - $275K/yr

Our models enables payers to make faster, more accurate decisions across their populations. By ... Onos is well-funded by some of the best healthcare investors and is working with the nation ...

Onos

Senior Software Engineer (Backend)

San Francisco, CA · On-site

$200K - $240K/yr

Our models enables payers to make faster, more accurate decisions across their populations. By ... Onos is well-funded by some of the best healthcare investors and is working with the nation ...

Onos

Staff Software Engineer (AI)

San Francisco, CA · On-site

$200K - $275K/yr

Our models enables payers to make faster, more accurate decisions across their populations. By ... Onos is well-funded by some of the best healthcare investors and is working with the nation ...

Scribe

Senior Product Engineer

San Francisco, CA · On-site

$170K - $230K/yr

About Scribe Scribe is where exceptional people come to do the best work of their careers. Our ... 45% are paying customers. We hit $100M ARR in May 2026 and have grown to over 5 million daily ...

Scribe

Senior Frontend Engineer, Core

San Francisco, CA · On-site

$170K - $230K/yr

About Scribe Scribe is where exceptional people come to do the best work of their careers. Our ... 45% are paying customers. We hit $100M ARR in May 2026 and have grown to over 5 million daily ...

Scribe

Staff Backend Engineer, Core

San Francisco, CA · On-site

$215K - $280K/yr

About Scribe Scribe is where exceptional people come to do the best work of their careers. Our ... 45% are paying customers. We hit $100M ARR in May 2026 and have grown to over 5 million daily ...

Scribe

Senior Full-Stack Engineer, Core

San Francisco, CA · On-site

$170K - $230K/yr

About Scribe Scribe is where exceptional people come to do the best work of their careers. Our ... 45% are paying customers. We hit $100M ARR in May 2026 and have grown to over 5 million daily ...

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Best Paying Programming information

What is the difference between Best Paying Programming vs Software Developer?

AspectBest Paying ProgrammingSoftware Developer
Required CredentialsTypically requires a bachelor's degree in computer science or related field, with certifications like AWS, Microsoft, or Cisco often beneficial.Usually requires a bachelor's degree in computer science or related field; certifications are optional but can enhance prospects.
Work EnvironmentPrimarily in tech companies, finance, or consulting firms; often involves project-based work and collaboration with cross-functional teams.Works in similar environments, including tech firms, startups, and corporate IT departments, with a focus on developing software solutions.
Industry UsageHighly used in technology, finance, healthcare, and consulting industries.Widely used across technology, finance, government, and other sectors requiring software solutions.

While both roles require similar credentials and work environments, Best Paying Programming positions tend to offer higher salaries due to specialized skills or niche expertise. Software Developers have broad roles in creating and maintaining software, making them essential across many industries. The choice depends on your career goals and desired specialization.

What are the key skills and qualifications needed to thrive as a Software Engineer in high-paying programming roles, and why are they important?

To thrive as a high-earning Software Engineer, you need proficiency in advanced programming languages (such as Python, Java, or C++), strong problem-solving abilities, and a relevant degree in computer science or a related field. Expertise with modern development frameworks, cloud platforms (like AWS or Azure), and certifications (such as AWS Certified Solutions Architect or Google Professional Cloud Developer) are highly valued. Exceptional collaboration, communication, and adaptability set top performers apart, as these skills foster innovation and effective teamwork. These qualifications ensure the ability to deliver scalable, efficient solutions that drive business value in competitive technology environments.

What are some typical challenges faced by programmers in high-paying roles, and how can they be addressed?

Programmers in top-paying positions often encounter complex, large-scale projects with tight deadlines and high expectations for quality and innovation. Managing these challenges requires strong problem-solving skills, effective time management, and the ability to collaborate across multidisciplinary teams. Staying updated with the latest technologies and continuously improving coding practices are essential for success. Building solid communication skills also helps in conveying technical concepts to non-technical stakeholders, ensuring project alignment and smoother workflow.

What are the best paying programming jobs?

The best paying programming jobs are typically found in specialized and in-demand fields such as artificial intelligence, machine learning, data science, cloud computing, and cybersecurity. Roles like software architect, machine learning engineer, and DevOps engineer often command high salaries due to their technical complexity and business impact. Compensation can also vary based on experience, location, company size, and industry. Staying current with emerging technologies and continually improving your skills can help maximize your earning potential in programming.
What are popular job titles related to Best Paying Programming jobs in California? For Best Paying Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Best Paying Programming jobs in California look for? The top searched job categories for Best Paying Programming jobs in California are:
What cities in California are hiring for Best Paying Programming jobs? Cities in California with the most Best Paying Programming job openings:
Best Paying Programming jobs near you
Infographic showing various Best Paying Programming job openings in California as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Lead Engineer (Data/Integrations)

Onos

San Francisco, CA • On-site

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

About Onos Health
Onos Health's mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.
Onos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable.
Onos is well-funded by some of the best healthcare investors and is working with the nation's largest health plans. Come join a category-defining company and help reimagine healthcare for the better.
Why Onos?
  • Meaningful impact: Help fix what is fundamentally broken in healthcare
  • Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise
  • Culture: Join a high-performing, transparent, and results-oriented team
  • Ownership: Significant responsibility and autonomy from day one
  • Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company

The Role
We're seeking an experienced data engineering leader with deep healthcare payer domain expertise who is motivated to meaningfully improve the way healthcare is administered in the country. You'll own the architecture and implementation of our integrations with claims and utilization management systems at the nation's largest health plans. As an early team member, you'll build the data infrastructure that powers the entire Onos platform and establish the best practices for a growing data engineering team. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 2-3 times a week.
What you'll be doing at Onos:
  • Lead the architecture and implementation of data integrations with major healthcare payers, including claims feeds, utilization management authorization data, eligibility files, and provider rosters
  • Build an integration framework that makes onboarding each new payer faster and more reliable over time
  • Work across healthcare data formats and exchange methods: EDI X12 (837/835/270/271/278), SFTP, flat files, proprietary APIs, and HL7/FHIR
  • Build monitoring, reconciliation, and data quality systems, including defining requirements, test scenarios, and acceptance criteria for each integration
  • Build and scale data pipelines for our AI/ML systems and analytics dashboards for behavioral and mental health quality and cost
  • Establish engineering best practices and technical foundations for future team growth

Technical Challenges At Onos:
  • Build a payer integration framework that makes each new national and regional health plan onboarding faster and more reliable than the last
  • Develop fault-tolerant data pipelines that process millions of claims records while maintaining strict data quality, security, and compliance requirements
  • Design normalization layers that translate varied payer data formats into a unified data model for AI/ML and analytics
  • Architect robust monitoring and alerting systems that detect data quality issues, feed disruptions, and schema drift before they impact downstream systems
  • Establish best practices for using AI tooling across the engineering workflow to ship faster without sacrificing quality

Tech Stack:
At Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale.
  • Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform
  • Languages/Frameworks
    • Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants
    • Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs
  • Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse
  • Development Tools: Github, Jira, Claude Code, CoderabbitAI, Tusk

What we're looking for:
  • 5+ years experience in data engineering, with significant time spent working with healthcare payer data (claims, UM, eligibility)
  • Prior experience leading engineering teams as a tech lead or engineering manager
  • Hands-on experience integrating with health plan systems and navigating payer data formats including EDI X12, HL7, FHIR, and custom flat files
  • Strong system design skills with a track record of defining clear requirements, test scenarios, and acceptance criteria for complex data systems
  • Customer obsessed and motivated to make an impact in the healthcare space
  • A hands-on technical leader who can architect robust and extensible systems, establish best practices with AI coding tools, and ship high quality production code

Bonus points if you have:
  • Direct experience integrating with claims platforms or UM systems such as QNXT, Facets, Amisys, Jiva, CareRadius, or similar
  • Experience with behavioral health or mental health claims data (e.g., behavioral health carve-outs, BH-specific CPT codes, quality measurement)
  • Built data infrastructure that powers AI/ML systems - feature pipelines, training data preparation, model monitoring

Benefits and Perks
  • Flexible hybrid arrangement: 2-3 days/week at San Francisco office (Financial District), remote-first culture
  • Unlimited vacation policy
  • Paid parental leave
  • Medical, dental, and vision insurance
  • Pre-tax commuter benefits
  • 401(k)
  • Significant equity as an early employee
  • Direct mentorship from experienced founders
  • Ground-floor opportunity to help build a team and culture
  • Regular team events and offsites
  • Company-provided equipment and home office setup

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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