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Data Compute Jobs in Hawaii (NOW HIRING)

Data Engineer

Honolulu, HI ยท On-site

$113K - $135K/yr

Required : โ€ข 10+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications ...

Data Engineer

Honolulu, HI ยท On-site

$113K - $136K/yr

You Have: * 10+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in ...

Data Engineer

Honolulu, HI ยท On-site

$225K/yr

You Have: * 10+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in ...

Data Engineer

Honolulu, HI

$113K - $135K/yr

You Have: * 10+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in ...

Data Engineer

Honolulu, HI ยท On-site +1

$113K - $135K/yr

You Have: * 10+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in ...

Data Engineer

Honolulu, HI

$113K - $135K/yr

You Have: * 10+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in ...

Data Engineer

Honolulu, HI ยท On-site

$113K - $135K/yr

You Have: * 10+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in ...

Data Engineer

Honolulu, HI ยท On-site +1

$113K - $135K/yr

You Have: * 10+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in ...

Data Engineer

Honolulu, HI ยท On-site

$113K - $135K/yr

You Have: * 10+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in ...

Data Engineer

Honolulu, HI ยท On-site

$113K - $136K/yr

You Have: * 10+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in ...

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Showing results 1-20

Data Compute information

What are the key skills and qualifications needed to thrive in the Data Compute position, and why are they important?

To thrive as a Data Compute professional, you need strong analytical abilities, expertise in data processing, and a relevant degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop or Spark), programming languages like Python or SQL, and certifications in cloud computing or data analytics are commonly expected. Attention to detail, problem-solving aptitude, and effective communication are crucial soft skills in this position. These skills are vital for ensuring accurate data interpretation, optimizing compute resources, and collaborating efficiently with other teams.

How can I make 2000 a week working from home?

Data Compute roles often involve analyzing large datasets, developing algorithms, or managing cloud-based computing tasks. To earn $2000 weekly, professionals typically need specialized skills, experience, and may work as freelancers or in contract positions, often requiring proficiency in programming, data analysis tools, and remote work setups. Consistent high earnings depend on the complexity of projects and the rate charged per hour or project.

What profession makes $400,000 a year?

In the field of data compute, senior roles such as data engineering managers or principal data scientists can earn $400,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation varies based on industry, location, and company size, often including bonuses and stock options.

What is the highest paying job in data?

In data-related fields, senior roles such as Data Engineering Managers, Data Architects, and Chief Data Officers tend to have the highest salaries, often exceeding six figures annually. These positions typically require extensive experience, advanced technical skills, and knowledge of tools like cloud platforms and data management systems.

What are the typical daily responsibilities of someone in a Data Compute role?

In a Data Compute role, your daily tasks may include designing and monitoring data pipelines, running large-scale data processing jobs, and maintaining the integrity and performance of compute infrastructure. You'll frequently collaborate with data scientists, engineers, and analysts to ensure datasets are accessible and optimized for analysis. Troubleshooting data processing bottlenecks, implementing automation solutions, and optimizing cloud or on-premises resources are also common aspects of the job. This role involves a mix of hands-on technical work and strategic planning to support data-driven decision-making across the organization.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, including those starting at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many professionals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What is a Data Compute job?

A Data Compute job involves managing and optimizing computational resources for processing large datasets. Professionals in this role work with cloud platforms, distributed computing frameworks, and high-performance computing (HPC) systems to ensure efficient data processing. They collaborate with data engineers and scientists to enhance performance, scalability, and cost-effectiveness of computational workloads.

What are popular job titles related to Data Compute jobs in Hawaii? For Data Compute jobs in Hawaii, the most frequently searched job titles are:
What cities in Hawaii are hiring for Data Compute jobs? Cities in Hawaii with the most Data Compute job openings:

Data Center Infrastructure Engineer

Cliff Services Inc

Honolulu, HI โ€ข On-site

$106K - $139K/yr

Other

Posted 9 days ago


Job description

Position: Data Center Infrastructure Engineer Location: Honolulu, HI Responsibilities

Data Center Infrastructure Engineer (Modernization & Storage)

This role is responsible for modernizing and consolidating a mixed data center environment, with a focus on transitioning from legacy storage and dual hypervisors (VMware and Nutanix) to a standardized Nutanix platform. The engineer will lead workload migrations, optimize system performance, and ensure stability throughout the transformation.

Key responsibilities include implementing and managing Cohesity as the central platform for backup and file services, as well as integrating Wasabi object storage to support scalable, cost-effective offsite retention. The role combines hands-on operational support-monitoring system health, troubleshooting issues, and supporting internal teams-with strategic project work across compute, storage, and data management. Required Qualifications

  • 5+ years of experience in data center infrastructure, systems engineering, or storage engineering
  • Strong hands-on experience with hypervisors, including VMware and/or Nutanix AHV
  • Proven experience with storage platforms, data migration, and consolidation initiatives
  • Experience with backup and recovery solutions, preferably Cohesity or similar platforms (Rubrik, Veeam, Commvault)
  • Familiarity with object storage solutions such as Wasabi, AWS S3, or Azure Blob
  • Solid understanding of compute, storage, and virtualization performance tuning
  • Experience troubleshooting infrastructure issues across servers, storage, and virtualization layers
  • Strong knowledge of networking fundamentals (IP, DNS, VLANs, ports, firewalls)
  • Ability to support both project-based work and day-to-day operations in a fast-paced environment
  • Strong communication skills and ability to work cross-functionally with internal teams Preferred Certifications
  • Nutanix Certified Professional (NCP) or Nutanix Certified Advanced Professional (NCAP)
  • VMware Certified Professional (VCP)
  • Cohesity Certified Administrator (CCA) or equivalent backup certification
  • AWS or Azure Cloud Certification (Associate level or higher)
  • CompTIA Server+ or Storage+ (nice to have)

This role is ideal for an engineer who thrives in both operational support and forward-looking infrastructure transformation initiatives.