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Data Engineer 500K Jobs in California (NOW HIRING)

Design data storage and retrieval using the right mix of vector, OLAP, SQL, NoSQL, cache, and ... Compensation: $250k-$500k expected salary with 1% to 5% equity depending on background. * Benefits:

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Excited to apply automation, data analytics, and emerging AI techniques to improve engineering ... Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable ...

Hyve Solutions is a leader in the data center solutions industry, designing, manufacturing, and ... Salary: $121,984K-$158,500K @ HYVE Solutions , we believe employees are our greatest asset and we ...

Hyve Solutions is a leader in the data center solutions industry, designing, manufacturing, and ... Salary: $121,984K-$158,500K @ HYVE Solutions , we believe employees are our greatest asset and we ...

We need a Senior Staff Engineer who architects and hardens the backbone of Circadia's platform ... 500K+ users or devices * Built scalable ingestion pipelines for high-frequency time-series data

... to $500K-$1M+ in annual savings, making the ROI story unusually compelling. Bland's biggest ... Explain Bland's architecture, in-house voice stack, integration approach, and data/security posture ...

Senior Software Engineer

San Mateo, CA · On-site

$180 - $240/hr

... data storage for 500K+ customers in 175+ countries, including businesses, developers, IT ... professionals, and individuals. Want to know what you'll be doing? You will work on our storage ...

... distributors, 500k+ SKUs, and years of history, plus the unstructured side: emails, PDFs, and ... Engineer data pipelines at scale with Spark, over messy multi-tenant supply chain data. Build the ...

Excited to apply automation, data analytics, and emerging AI techniques to improve engineering ... Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable ...

System Software

San Francisco, CA · On-site

$200 - $500/hr

... Type Full time Department Engineering Software Compensation * Base $200K - $500K Actual ... Design robust abstractions for device control, data flow, and inter-process communication. * Debug ...

Costs are extremely high-often $500K-$2M per patient-limiting access to only a small fraction of ... Experience using data visualization tools (e.g., Grafana, Tableau) to monitor cluster performance ...

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Data Engineer 500K information

What is a data engineer 500K?

A Data Engineer 500K job typically refers to a high-paying data engineering role, often at top tech companies, hedge funds, or startups, where total compensation (salary, bonuses, and stock options) reaches $500,000 or more. These roles usually require strong expertise in data infrastructure, ETL pipelines, cloud platforms, and big data technologies. Candidates often have years of experience in software engineering, distributed systems, and working with large-scale datasets. High-paying Data Engineer roles are common in industries like finance, AI, and big tech, where data efficiency directly impacts business success.

What are the key skills and qualifications needed to thrive in the data engineer 500K position, and why are they important?

To thrive as a Data Engineer 500K, you need a solid background in computer science, expertise in designing data architectures, and advanced proficiency with programming languages such as Python or Java, often supported by a related degree or equivalent experience. Familiarity with big data frameworks (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and certifications in these tools are highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies collectively enable Data Engineers to build robust, scalable data systems that drive business insights and operational efficiency.

What are the main challenges data engineers face in high-compensation roles such as this one?

Data Engineers in high-compensation roles like this often work on complex, large-scale data infrastructure projects that require not only technical expertise but also the ability to adapt quickly to evolving technologies. One common challenge is optimizing data pipelines for both performance and reliability while managing massive volumes of data from diverse sources. Additionally, close collaboration with data scientists, engineers, and business stakeholders is necessary to understand data requirements and ensure high-quality, accessible datasets. Success in this environment depends on staying up to date with new tools, embracing continuous learning, and adeptly balancing immediate project needs with long-term architectural considerations.

What are the most commonly searched types of Data Engineer 500K jobs in California?

The most popular types of Data Engineer 500K jobs in California are:

What are popular job titles related to Data Engineer 500K jobs in California?

For Data Engineer 500K jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Engineer 500K jobs in California look for?

The top searched job categories for Data Engineer 500K jobs in California are:

What cities in California are hiring for Data Engineer 500K jobs?

Cities in California with the most Data Engineer 500K job openings:

Infographic showing various Data Engineer 500K job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Software Engineer, Backend

San Francisco, CA

$250K - $500K/yr

Full-time

Medical, Dental, Vision

Posted 2 days ago

New


Job description

About Us

XOXO is a research lab building the interface of intelligence for everyday life. We're a stealth team of hardcore engineers, designers, and researchers discovering solutions to novel problems impacting life outside work.

With a recent breakthrough across infrastructure, architecture, and the model layer, we’re hiring serious builders to develop the interface and application layer that will bring our vision to life.

About the Role

We’re hiring a backend engineer to design, build, and operate production-grade backend systems. This role is for someone who is deeply fluent in cloud infrastructure, distributed systems, observability, and data persistence, where testing and stability are at the core of how you operate.

You’ll take full ownership of backend projects from concept through production launch, with a focus on performance, reliability, infrastructure efficiency, and security throughout the development lifecycle.

What You’ll Do

  • Build and operate backend services and distributed systems in production on AWS or GCP.

  • Design data storage and retrieval using the right mix of vector, OLAP, SQL, NoSQL, cache, and search systems.

  • Implement and run observability: monitoring, logging, tracing, and alerting to keep systems healthy and performant.

  • Design and implement comprehensive test harnesses that cover deployment and runtime failure scenarios.

  • Own backend projects end-to-end: complex feature development, CI/CD + Terraform, stability, and security.

Skills & Qualifications

Minimum qualifications:

  • Deep, hands-on experience designing and operating distributed systems in production.

  • Expert experience deploying, managing, and scaling applications on AWS or GCP.

  • Strong observability practice: monitoring, logging, tracing, and alerting.

  • Broad knowledge of data persistence systems (Vector, OLAP, SQL, NoSQL,cache, Search).

  • Exceptional algorithms and data structures experience, with a focus on retrieval and performance optimization.

  • Demonstrated ability to design and implement test harnesses that cover deployment and runtime failure scenarios.

  • Strong ownership: able to take projects from concept to production independently.

Preferred qualifications — we encourage you to apply if you meet some but not all of these:

  • Hands-on experience with CI/CD and Infrastructure as Code (Terraform).

  • Track record of prioritizing stability and preventing errors in production systems.

  • Ability to make architecture decisions that balance performance and infrastructure cost-efficiency.

  • Consistent application of security best practices throughout the development lifecycle.

A link to relevant code, technical writing, or project work is strongly encouraged.

Logistics

  • Location: San Francisco, CA (on-site)

  • Compensation: $250k-$500k expected salary with 1% to 5% equity depending on background.

  • Benefits: Top tier health, dental, vision benefits, and many other perks.