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Data Processing Jobs in Hawaii (NOW HIRING)

Pae

Data Engineer Mid

Joint Base Pearl Habor Hickam, HI · On-site

$118K - $141K/yr

Develop automated processes for data ingestion, transformation, and integration from multiple sources, including conditioning of non-standard datasets * Build efficient data storage solutions ...

GRVTY

Data Scientist 2

Honolulu, HI · On-site

$125K - $155K/yr

Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference ...

GRVTY

Data Scientist 2

Honolulu, HI

$125K - $155K/yr

Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference ...

IntelliGenesis

Data Scientist Level 3

Waimanalo, HI · On-site

Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain ...

IntelliGenesis LLC

Data Scientist Level 3

Waimanalo, HI · On-site

$88K - $121K/yr

Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain ...

Parsons

Data Scientist TS/SCI CI POLY

Honolulu, HI · On-site

$88K - $154K/yr

Strong proficiency in Python, working with structured and unstructured data with the ability to automate data processing and analysis tasks. * Experience with data preprocessing, normalization, and ...

Core One

Data Scientist (INDOPACOM)

Honolulu, HI · On-site

This position uses scientific techniques to process and structure multi-source data, creating timely and actionable intelligence insights for JIOC personnel and supporting informed decisions across ...

Core One

Data Scientist (INDOPACOM)

Honolulu, HI · On-site

This position uses scientific techniques to process and structure multi-source data, creating timely and actionable intelligence insights for JIOC personnel and supporting informed decisions across ...

Core One

Data Scientist (INDOPACOM)

Honolulu, HI · On-site

This position uses scientific techniques to process and structure multi-source data, creating timely and actionable intelligence insights for JIOC personnel and supporting informed decisions across ...

Core One

Data Scientist (INDOPACOM)

Honolulu, HI · On-site

This position uses scientific techniques to process and structure multi-source data, creating timely and actionable intelligence insights for JIOC personnel and supporting informed decisions across ...

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All JobsData Processing JobsData Processing Jobs in Hawaii

Data Processing information

See Hawaii salary details

$12

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$36

How much do data processing jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data processing in Hawaii is $21.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $23.22 per hour, depending on experience, location, and employer.

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

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
What are the most commonly searched types of Data Processing jobs in Hawaii? The most popular types of Data Processing jobs in Hawaii are:
What are popular job titles related to Data Processing jobs in Hawaii? For Data Processing jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Hawaii look for? The top searched job categories for Data Processing jobs in Hawaii are:
What cities in Hawaii are hiring for Data Processing jobs? Cities in Hawaii with the most Data Processing job openings:
Data Processing jobs near you
Data Scientist 2 with Security Clearance

Data Scientist 2 with Security Clearance

Tailored Access, LLC

Honolulu, HI

Other

Posted 29 days ago

Job description

What You'll be Owning: * We are actively searching for Data Scientists, located in Hawaii, to support our team. We have varying levels of Data Scientist roles, depending on years of experience and education. * Performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms as well as algorithm refinements, and supports data visualization and analytics.

What You Must Have : * Bachelor's Degree with 3 years of relevant experience OR Associates degree with 5 years of relevant experience * Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g.

algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirements, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

* Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred * Active TS/SCI w/poly What Would Be Nice to Have: * Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets.

Make and communicate principled conclusions from data using elements of mathematics, * Statistics, computer science, and application specific knowledge. * Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in data holdings. * Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.

Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting, processing, storage and analytic capabilities and limitations.

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