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Data Engineer 500K Jobs in California (NOW HIRING)

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

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

... live data lookups. For large contact center operators, every additional percentage point of ... to $500K-$1M+ in annual savings , making the ROI story unusually compelling. Bland's biggest ...

... 500K+ users or devices * Built scalable ingestion pipelines for high-frequency time-series data ... Programming Languages: Python, Javascript, C++ (Optional) * Frameworks: FastAPI, NumPy, Pandas ...

... 500K+ users or devices * Built scalable ingestion pipelines for high-frequency time-series data ... Programming Languages: Python, Javascript, C++ (Optional) * Frameworks: FastAPI, NumPy, Pandas ...

Staff Software Engineer

Los Angeles, CA · On-site

$150K - $225K/yr

... 500K+ users or devices * Built scalable ingestion pipelines for high-frequency time-series data ... Programming Languages: Python, Javascript, C++ (Optional) * Frameworks: FastAPI, NumPy, Pandas ...

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 ...

Robotics Field Engineer

Los Angeles, CA · On-site

$90K - $160K/yr

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, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Solutions Engineer, Robotics

Scale AI

San Francisco, CA • On-site

Full-time

Re-posted 24 days ago


Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

78th of 243 rated software companies


Job description

Job Summary:
ScaleAI is pioneering the shift of artificial intelligence into robotics and autonomous systems. They are looking for a pivotal Solutions Engineer to build relationships with innovative model builders and robotics companies, guiding them through the pre-sales process and ensuring customer satisfaction with their data and software platforms.
Responsibilities:
• Partner with Scale Account Executives and Engagement Managers to deliver new customer pilots and grow technical relationships with existing clients.
• Work with Product Engineering and Product Management to influence our product roadmap based on your frontline insights.
• Become a domain expert in next-generation Robotics and physical AI (e.g. VLMs, VLAs, World Models)
• Be accountable for the technical customer experience and commercial growth, expanding relationships and use cases with existing customers.
• Collaborate with highly technical engineers at our customer sites to ensure satisfaction with our data, software platforms, and workflows.
• Design and develop playbooks, demos, and other tools to ensure efficient and successful pilots and customer expansions.
• Pioneer the development of a global Robotics Data Marketplace, actively seeking out and engaging with key international partners to build a comprehensive data ecosystem.
• Evangelize Scale by interacting with customers at major industry events and academic conferences.
Qualifications:
Required:
• A strong engineering background, preferably in Robotics, Mechatronics, Computer Science, Mathematics, or other Engineering fields.
• 3+ years of experience developing with Python, C++, Java, and/or other scripting languages.
• Hands-on experience in Robotics and Physical AI.
• Exceptional project management and interpersonal skills, strong attention to detail, and a strong sense of ownership.
• The presentation skills and technical credibility to speak confidently with a variety of stakeholders, from executives to front-line engineers.
• A high level of comfort communicating effectively across internal and external organizations.
• Regular travel within the Bay Area.
• International travel approximately once every two months.
• Intellectual curiosity, empathy, and the ability to operate with a high degree of autonomy.
Preferred:
• Prior sales, solutions engineering, or partnership experience with a track record of successfully achieving quota.
• Ideally would have experience selling complex technical solutions to enterprises with deal sizes of $500K to $5M+.
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

What Scale AI employees say

Pay

Benefits

Hours and flexibility

Workplace

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