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Data Processing Jobs in Hawaii (NOW HIRING)

$111K - $134K/yr

Write and maintain scripts (Python, Bash, or similar) to automate data processing, validation, and monitoring tasks. * Document data flows, system configurations, and standard operating procedures.

Write and maintain scripts (Python, Bash, or similar) to automate data processing, validation, and monitoring tasks. * Document data flows, system configurations, and standard operating procedures.

... processing, validation, and monitoring tasks. • Document data flows, system configurations, and standard operating procedures. Qualifications TYPICAL EDUCATION AND EXPERIENCE: Bachelors and five ...

Implement advanced data pre-processing, cleansing, and security protocols suitable for classified datasets. * Visualizes, interprets, and reports data findings in dynamic data reports. * Employs a ...

Write and maintain scripts (Python, Bash, or similar) to automate data processing, validation, and monitoring tasks. Document data flows, system configurations, and standard operating procedures.

Analytic Cloud Developer

Honolulu, HI · On-site

$55.50 - $76/hr

Responsibilities : • Design and deploy cloud solutions • Develop scalable analytics apps • Integrate cloud-based tools • Ensure cloud security compliance • Optimize data processing ...

Implement data processing algorithms * Troubleshoot software and system issues * Collaborate with SIGINT analysts * Ensure software meets mission requirements REQUIRED SKILLS * Proficiency in ...

Universal Banker I

Honolulu, HI · On-site

$18 - $20/hr

Balances all data processing reports to Operations Administration * Prepares data processing entries for submission to Operations Administration * Compliant with bank regulations * Be acquainted of ...

Data Engineer

Honolulu, HI · On-site

$75K/yr

You will develop and manage ETL processes and data pipelines across various government platforms, working with a wide range of data types. This is an ideal opportunity to be part of one of the ...

Data Scientist

Aiea, HI

$141K - $236K/yr

Translate data into actionable intelligence for both technical and non-technical audiences ... Document methodologies and processes to ensure reproducibility, knowledge sharing, and seamless ...

Showing results 41-60

Data Processing information

See Hawaii salary details

$12

$21

$36

How much do data processing jobs pay per hour?

As of Aug 20, 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 is data processing?

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.

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.

What are the key skills and qualifications needed to thrive in data processing, 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 do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

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 most commonly searched types of Data Processing jobs in Hawaii?

The most popular types of 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:

Infographic showing various Data Processing job openings in Hawaii as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $43,795 per year, or $21.1 per hour.

$111K - $134K/yr

Full-time

Posted 11 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services


Job description


We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves data across security domains using cross domain solutions (CDS) / guards. You will be responsible for the reliable flow of streaming data from a wide range of sources into our data platform, ensuring data quality, observability, and scalability.
You'll partner closely with data engineers, platform engineers, analytics teams, and security/governance personnel to deliver trustworthy, low-latency data that supports operational decisions - while ensuring compliance with cross-domain and data classification requirements. This position is on-site in Honolulu, HI.
Key Responsibilities
  • Aid the team in delivering continual data feeds to users and monitoring the health of data quality and overall data ingest.
  • Design, build, and maintain resilient real-time/near-realtime ingestion pipelines using Apache NiFi and REST APIs, with appropriate backpressure, prioritization, retries, and error-handling strategies.
  • Configure and monitor data flows moving across security domains via cross domain guards/solutions, ensuring data integrity and compliance with transfer policies.
  • Parse, transform, validate, and route structured and unstructured data in a variety of formats, including Excel, CSV, JSON, and XML.
  • Employ data manipulation and visualization tools (e.g., Grafana, Prometheus) to effectively convey pipeline status, data quality, and historical trends to leadership, users, and the data team.
  • Collaborate with platform, software, and other data engineers to (re)configure and continuously improve data ingestion pipeline reliability.
  • Develop and maintain software/scripts to automate monitoring of real-time feeds and alert on timeliness, volume, lineage, and distribution data issues.
  • Translate learnings from historical pipeline data into actionable steps to improve data ingest reliability and performance.
  • Partner with security and governance teams to enforce encryption, authentication, authorization, and data classification requirements across pipelines and cross-domain transfers.
  • Write and maintain scripts (Python, Bash, or similar) to automate data processing, validation, and monitoring tasks.
  • Document data flows, system configurations, and standard operating procedures.

Qualifications
  • TYPICAL EDUCATION AND EXPERIENCE: Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
  • U.S. Citizenship and an active TS/SCI clearance.
  • Bachelor of Science degree in Computer Science, Mathematics, Electrical Engineering, Physics, Information Systems, Information Technology, or related field.
  • 3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
  • Proficiency in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications.
  • Working knowledge of the Linux (RedHat) command line; familiarity with Windows environments.
  • Solid understanding of data engineering fundamentals: data pipelines, streaming architectures, ETL/ELT concepts, and data quality principles.
  • Familiarity with JSON, XML, CSV, and Excel data formats, parsing, and transformation.

Preferred Qualifications (Nice to Have)
  • Experience with streaming/messaging platforms and tools: Kafka, JMS, Apache Flink/Spark Streaming.
  • Experience with monitoring/observability tools: Grafana, Prometheus, Elasticsearch.
  • Experience with data platforms such as Snowflake.
  • Familiarity with cross domain solutions/guards (e.g., data diode concepts, transfer validation, content filtering).
  • Experience enforcing encryption, authentication/authorization, and data classification policies in partnership with security/governance teams.
  • Experience with version control tools (e.g., Git) and Agile/Scrum practices.
  • Prior experience in a government, defense, or intelligence community environment.

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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