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Data Technology Jobs in Hawaii (NOW HIRING)

Atreides

HI · On-site

We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess ...

Atreides

HI · Hybrid

$122K - $147K/yr

We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess ...

Deloitte

Data Scientist

Honolulu, HI

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and ...

GliaCell Technologies

Data Scientist

Honolulu, HI · On-site

$50K - $120K/yr

Are you a Data Scientist who is ready for a new challenge that will launch your career to the next ... GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security ...

GliaCell Technologies

Data Scientist

Honolulu, HI · On-site

Are you a Data Scientist who is ready for a new challenge that will launch your career to the next ... GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security ...

Parsons

Data Scientist TS/SCI CI POLY

Honolulu, HI

$88K - $154K/yr

Familiarity with data visualization tools (e.g., matplotlib) and big data technologies (e.g., Pandas, Spark). * Capable of intuitively solving complex problems, working independently, with minimal ...

SAIC

Data Scientist

Honolulu, HI · On-site

$120K - $160K/yr

Computer Science, Data Science, EE, ME, IE, Physics, Information Systems or Information Technology. * U.S. Citizenship is required. Security Clearance: * Candidates must have an active TOP SECRET/SCI ...

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Data Technology information

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How much do data technology jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data technology in Hawaii is $41.46, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $62.88 per hour, depending on experience, location, and employer.

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

To thrive in a Data Technology role, you need strong analytical skills, experience in data management, and knowledge of programming languages such as SQL or Python, often supported by a bachelor’s degree in computer science, information systems, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), cloud platforms (AWS, Azure, or Google Cloud), and relevant certifications (such as Certified Data Management Professional) is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills are key soft skills for success. These competencies help ensure the integrity, accessibility, and actionable value of data within an organization.

What profession makes $400,000 a year?

In the field of data technology, senior roles such as Chief Data Officer or Data Engineering Director can earn $400,000 or more annually, especially with extensive experience, advanced skills in data architecture, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong understanding of data management tools and strategies.

Is 40 too late for data science?

Data technology roles, including data science, do not have strict age limits. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R, often through online courses or certifications. Age should not be a barrier if you develop the necessary expertise and experience.

What is a Data Technology job?

A Data Technology job focuses on managing, processing, and analyzing data using various tools and technologies. Professionals in this field work with databases, cloud platforms, and big data frameworks to store, organize, and extract insights from data. They may also develop data pipelines, ensure data quality, and optimize data infrastructure for business and analytical use.

What are the typical responsibilities of someone working in Data Technology?

Professionals in Data Technology are typically responsible for developing and maintaining data infrastructure, designing databases, ensuring data quality, and implementing data security standards. Day-to-day tasks may involve collaborating with analysts, engineers, and business stakeholders to enable data-driven decision-making and optimize existing systems. As part of a cross-functional team, you might be tasked with troubleshooting data issues, integrating new data sources, and supporting the deployment of analytics solutions. This role offers exposure to a fast-evolving environment, expands your technical skills, and often provides opportunities to progress toward senior data engineering or data architect positions.

What jobs pay 200,000 a year in the USA?

In the field of data technology, senior roles such as Data Architects, Data Engineering Managers, and Chief Data Officers often have salaries exceeding $200,000 annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. These positions typically require strong technical expertise, certifications, and experience managing large data systems or teams.

What is a data tech job?

A data tech job involves managing, processing, and analyzing data using tools like databases, programming languages, and data pipelines. These roles often require skills in SQL, Python, or cloud platforms and focus on ensuring data quality, security, and accessibility for organizations.
What are popular job titles related to Data Technology jobs in Hawaii? For Data Technology jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Data Technology jobs in Hawaii look for? The top searched job categories for Data Technology jobs in Hawaii are:
Data Technology jobs near you
Infographic showing various Data Technology job openings in Hawaii as of June 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $86,241 per year, or $41.5 per hour.

Hybrid (Data) Engineer/Analyst (Hawaii)

Atreides

HI • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 17 days ago

Job description

Salary:

Job Title: Data Engineer

Company Overview: Atreides helps organizations transform large and complex multi-modal datasets into information-rich geo-spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high-fidelity data solutions to enable customers to derive insights quickly.

We are a fast-moving, high-performance startup. We value a diverse team and believe inclusion drives better performance. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission-driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive-scale data to make the world safer, stronger, and more prosperous.

Team Overview: We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries.

Position Overview: We are looking for a skilled Hybrid (Data) Engineer/Analyst (Hawaii) with a mixed background; this may include full-stack engineering, data, and DevOps to deliver automated end-to-end solutions within a cloud-native environment. You may also have a strong background in both data analytics and all-source intelligence analysis. This role combines advanced technical expertise with multi-intelligence capabilities to process and fuse data from diverse sources into actionable insights.You will collaborate closely with customers, infrastructure engineers, and data analysts to translate business and technical requirements into efficient, automated solutions that enable data-driven decision-making and operational excellence.


The role will be USINDOPACOM-focused, with an expected annual commitment of approximately 36days deployed in-theater across partner countries, including South Korea, Australia, New Zealand, Taiwan, or Japan. The ideal candidate will thrive at the intersection of data, technology, and mission, leveraging commercial data and multi-intelligence fusion to support complex operational and strategic needs.


Team Principles:

At Atreides, we believe that teams work best when they:

  • Remain curious and passionate in all aspects of our work
  • Promote clear, direct, and transparent communication
  • Embrace the 'measure twice, cut once' philosophy
  • Value and encourage diverse ideas and technologies
  • Lead with empathy in all interactions

Responsibilities:

  • Build intuitive user experiences for our customers to query, visualize and export data from data fusion engines.
  • Ensure high availability for customer facing systems, meeting strict customer availability requirements.
  • Ensure data security and implement necessary measures to protect sensitive information.
  • Apply advanced analytical techniques to process, analyze, and interpret large-scale datasets.
  • Integrate commercially available data with other intelligence disciplines to produce comprehensive intelligence.
  • Monitor and troubleshoot data pipelines and infrastructure to ensure high availability and performance.
  • Provide direct support and troubleshooting on implemented systems for the customer, including after-hours on-call support on a rotating basis.
  • Document analysis design, data engineering processes, and maintain comprehensive documentation.

Required Qualifications:


  • Must have active TOP SECRET clearance with SCI eligibility.
    • Experience supporting intelligence or operational missions with digital pattern-of-life analysis.
    • Experience with MVC-style web application architecture and web server technologies like WebSockets, Nginx.
    • Skilled in geospatial visualization tools (QGIS, ArcGIS, Kepler).
    • Proficiency in SQL and Python for analytics and automation.
    • Proven multi-intelligence fusion experience (OSINT, SIGINT, HUMINT, GEOINT).
    • Strong briefing abilities for senior leaders and operational clients.
    • Excellent problem-solving skills and the ability to think quickly in a high-performance environment.
    • Effective communication skills to convey technical concepts to both technical and non-technical stakeholders.

    Compensation and Benefits:

    • Competitive salary
    • Comprehensive health, dental, and vision insurance plans
    • Flexible hybrid work environment
    • Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave

    While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from you.