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Vast Data Jobs in California (NOW HIRING)

Wing

Software Engineer, Data Infrastructure

Palo Alto, CA · Hybrid

$134K - $161K/yr

The Data Infrastructure team builds the foundational systems that manage the vast data generated by our global fleet of autonomous aircraft. In this role, you will design, build, and maintain the ...

VAST Data

Order Fulfillment Specialist

Campbell, CA · On-site

$19 - $25.25/hr

Description The Order Fulfillment Specialist is responsible for driving day-to-day execution and coordination of customer orders from booking through shipment. This role serves as the primary ...

Parafin

Data Scientist

San Francisco, CA · On-site

$200 - $235/hr

Our Work Our mission is to help Parafin succeed by leveraging the vast data that powers our platform. Our team partners closely with leaders across the company to drive impact. This role's scope ...

Vast

Senior Data Engineer

Long Beach, CA · On-site

$111K - $151K/yr

Vast is developing next-generation space stations and space infrastructure using an incremental ... Build and maintain robust data pipelines that feed internal AI/ML tools and enable advanced ...

Wing

Software Engineer, Data Infrastructure

Palo Alto, CA · On-site

$190K - $202K/yr

The Data Infrastructure team builds the foundational systems that manage the vast data generated by our global fleet of autonomous aircraft. In this role, you will design, build, and maintain the ...

Parafin, Inc

Data Scientist

San Francisco, CA · On-site

Our Work Our mission is to help Parafin succeed by leveraging the vast data that powers our platform. Our team partners closely with leaders across the company to drive impact. This role's scope ...

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How much do vast data jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for vast data in California is $31.78, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $38.89 per hour, depending on experience, location, and employer.

What is a Vast Data engineer?

A Vast Data engineer is a professional who specializes in designing, implementing, and maintaining data storage solutions using Vast Data's platform. Vast Data is a company known for its high-performance, scalable storage systems that leverage technologies like NVMe and advanced data reduction. Engineers in this field focus on optimizing storage infrastructure for speed, reliability, and efficiency, often supporting big data, AI, and machine learning workloads. Their responsibilities include configuring storage systems, ensuring data integrity, and troubleshooting performance issues.

What are the key skills and qualifications needed to thrive as a Vast Data engineer?

To thrive as a Vast Data Engineer, you need expertise in data storage architectures, cloud technologies, and distributed systems, often supported by a degree in computer science or related field. Familiarity with Vast Data's Universal Storage platform, proficiency in scripting languages like Python or Bash, and experience with tools such as Kubernetes and Linux are typically required. Strong problem-solving skills, teamwork, and effective communication help in troubleshooting and collaborating with cross-functional teams. These abilities ensure robust storage solutions, seamless system integration, and reliable data management in high-performance environments.

What are common challenges faced by engineers working with Vast Data solutions, and how can they be addressed?

Engineers working with VAST Data solutions often encounter challenges related to managing large-scale unstructured data and ensuring optimal performance in complex environments. Addressing these challenges typically involves staying up to date with evolving storage architectures, collaborating closely with IT and DevOps teams, and proactively monitoring system health. VAST Data engineers usually benefit from regular training on new features, participating in troubleshooting sessions, and leveraging peer support within cross-functional teams to resolve issues efficiently.

What is the difference between Vast Data vs Data Engineer?

AspectVast DataData Engineer
Required CredentialsBachelor's in Computer Science or related, familiarity with storage and data managementBachelor's or higher in Computer Science, Engineering, or related, often with certifications in data tools
Work EnvironmentData storage and infrastructure environments, often in data centers or cloudData pipelines, ETL processes, cloud or on-premises environments
Employer & Industry UsageTech companies, data storage providers, cloud servicesAny industry with large data needs: finance, tech, healthcare, etc.
Common Search & ComparisonYesYes

Vast Data professionals focus on data storage solutions, infrastructure, and management, often working with storage hardware and cloud platforms. Data Engineers design, build, and maintain data pipelines and architectures. While both roles work with data, Vast Data roles are more hardware and storage-oriented, whereas Data Engineers focus on data processing and integration.

What are popular job titles related to Vast Data jobs in California?

For Vast Data jobs in California, the most frequently searched job titles are:

What job categories do people searching Vast Data jobs in California look for?

The top searched job categories for Vast Data jobs in California are:

What cities in California are hiring for Vast Data jobs?

Cities in California with the most Vast Data job openings:

Vast Data jobs near you
Infographic showing various Vast Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $66,109 per year, or $31.8 per hour.

Strategic Account Executive - Nvidia Growth

Front Door Defense

San Francisco, CA • On-site

$180 - $240/hr

Other

Posted 4 days ago

Key responsibilities

  • Own and execute multi-year strategic account plans to drive revenue and expand VAST's footprint within high-value enterprise accounts.

  • Develop and maintain relationships with executive, technical, and procurement stakeholders to influence decision-making and position VAST as a long-term platform standard.

  • Lead complex enterprise sales cycles, structure large multi-year agreements, and position VAST's technical offerings to meet customer business outcomes.

Job description

Account Executive - Strategic AccountsOwn and execute a multi-year strategic account plan to drive multi-million revenue.

Location: San Francisco, California

About The RoleAccount Executive

VAST Data is hiring an Account Executive for our Strategic Accounts team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.

'VAST's data management vision is the future of the market.'- Forbes

VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

Our success has been built through intense innovation, a customer‑first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.

The Role

We are seeking a Strategic Account Executive to own and expand a portfolio of high‑value, strategic enterprise accounts. The mandate is clear: drive direct revenue, expand footprint, and position VAST as the foundational data platform for AI and data‑intensive environments.

This AE will develop and execute multi‑year account strategies, drive large‑scale transactions, and build executive‑level relationships across engineering, IT, and infrastructure leadership. Success in this role requires the ability to operate at both high altitude (strategy, executive alignment) and low altitude (deal orchestration, execution).

This is a high‑visibility, high‑impact role focused on revenue growth and long‑term platform entrenchment within some of the most important accounts in the market.

Key Responsibilities

Strategic Account Leadership

  • Own and execute global, multi-year account plans across a defined set of strategic accounts
  • Map, build, and influence executive, technical, and procurement stakeholders
  • Identify whitespace, drive account penetration, and expand VAST’s footprint across business units
  • Establish VAST as a long-term platform standard within customer environments

Revenue & Deal Execution

  • Drive net-new and expansion revenue across assigned accounts
  • Lead complex, multi-threaded enterprise sales cycles
  • Structure and close large, multi-year, multi-product agreements
  • Maintain disciplined forecasting, pipeline hygiene, and deal rigor

Technical Positioning

  • Position VAST for AI/ML, analytics, HPC, and large-scale data workloads
  • Partner closely with Solutions Engineering to design scalable, differentiated architectures
  • Translate VAST’s technical differentiation into clear business outcomes

Cross-Functional Alignment

  • Partner with Product, Engineering, and Executive leadership to support strategic deals
  • Provide structured customer insight to inform product direction and roadmap priorities
  • Coordinate effectively across field, partner, and executive teams to drive outcomes

Requirements

  • 10+ years of enterprise infrastructure or data platform sales experience
  • Proven track record closing $10M+ strategic deals within complex organizations
  • Experience owning and expanding large, named or strategic accounts
  • Strong fluency in AI infrastructure, data platforms, analytics, and/or HPC environments
  • Demonstrated ability to navigate multi-stakeholder environments and drive consensus
  • Executive presence with disciplined account planning and deal execution
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