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Part Time Data Jobs in Hawaii (NOW HIRING)

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Honolulu, HI · On-site +1

$61K - $141K/yr

As a data engineer at Booz Allen, you'll use your skills and experience to help build advanced ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Honolulu, HI · On-site +1

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Honolulu, HI · On-site +1

$77K - $176K/yr

Share Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer or Data Scientist to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

UH Hilo, Hilo, HI Job Type: Part-Time Temporary Job Number: 2026-01086 Department: University of ... Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ...

Retail Data Collection Associate - PT

Kaneohe, HI · On-site

$15.25 - $17.25/hr

Equal Opportunity Employer As a retail data collection associate, you would be a part of our ... Permanent Part time (Looking for supplemental income? This is it!) Flexible schedule Paid training

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Part Time Data information

See Hawaii salary details

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How much do part time data jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for part time data in Hawaii is $20.75, according to ZipRecruiter salary data. Most workers in this role earn between $13.75 and $20.11 per hour, depending on experience, location, and employer.

Will AI replace data analyst?

AI can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role is evolving to include skills in machine learning tools and data visualization, but human expertise remains critical for nuanced analysis. Therefore, AI is a tool that complements rather than replaces data analysts.

What are the key skills and qualifications needed to thrive as a Part Time Data Entry Clerk, and why are they important?

To thrive as a Part Time Data Entry Clerk, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, data management systems, and sometimes basic database tools is typically required. Reliability, time management, and the ability to work independently are important soft skills for this role. These skills ensure that data is entered accurately and efficiently, supporting overall business operations and data integrity.

What are part-time data jobs?

Part-time data jobs are positions where employees work fewer hours than a standard full-time schedule, typically focusing on tasks related to data collection, entry, analysis, or management. These roles may include data entry clerks, data analysts, or research assistants, and are often found in industries like healthcare, finance, marketing, or education. Part-time data jobs are ideal for students, individuals seeking flexible work arrangements, or those looking to gain experience in the data field without committing to a full-time role.

Can I be a data analyst with no experience?

Entry-level data analyst positions often do not require prior experience if candidates have relevant skills such as proficiency in Excel, SQL, or data visualization tools, and a basic understanding of statistics. Gaining certifications or completing online courses can improve chances of securing such roles without previous work experience.

Are part-time data entry jobs real?

Part-time data entry jobs are legitimate positions that involve inputting information into computer systems, often requiring basic computer skills and attention to detail. These jobs are commonly found through reputable job boards and may be remote or in-office, with flexible schedules for qualified candidates.

What are some common challenges faced by part-time data professionals, and how can they be addressed?

Part-time data professionals often encounter challenges such as managing workload within limited hours, staying updated with evolving data tools, and integrating effectively with full-time team members. To address these, clear communication about project expectations and deadlines is essential. Utilizing collaborative tools and participating in regular team meetings can help part-time staff stay aligned and contribute effectively, while ongoing learning helps bridge any skills gaps. Many organizations also encourage part-time employees to attend training sessions or workshops to stay current.

Is 40 too late for data science?

Age is not a strict barrier for data science roles, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience or certifications. Employers value diverse backgrounds and experience, so starting at 40 can still lead to a successful data science career with dedicated learning and networking.

What is the difference between Part Time Data vs Part Time Data Analyst?

AspectPart Time DataPart Time Data Analyst
Required CredentialsBasic understanding of data concepts, possibly some courseworkRelevant degree or certification in data analysis, statistics, or related field
Work EnvironmentFlexible, often remote or freelance projectsOffice or remote, focused on analyzing data sets
Employer & Industry UsageVarious industries, including tech, marketing, researchBusinesses seeking data insights, analytics firms, research organizations

Part Time Data generally refers to flexible, entry-level data-related tasks, while Part Time Data Analyst involves more specialized analysis work requiring relevant skills and certifications. The analyst role typically demands a deeper understanding of data tools and methodologies, making it more focused on interpreting data to inform decisions.

What are the most commonly searched types of Data jobs in Hawaii? The most popular types of Data jobs in Hawaii are:
What are popular job titles related to Part Time Data jobs in Hawaii? For Part Time Data jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Part Time Data jobs in Hawaii look for? The top searched job categories for Part Time Data jobs in Hawaii are:
What cities in Hawaii are hiring for Part Time Data jobs? Cities in Hawaii with the most Part Time Data job openings:
Infographic showing various Part Time Data job openings in Hawaii as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,151 per year, or $20.7 per hour.
Data Engineer

Data Engineer

Booz Allen Hamilton, Inc.

Honolulu, HI • On-site, Remote

$113K - $135K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 27 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 73 rated business consultants


Job description


Remote Work:
No
Job Number:
R0244293
Location:
Honolulu,HI,US
Share job via:
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Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you'll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You'll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
Here, you'll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can't wait.
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 restricted or classified settings
  • 10+ years of experience designing and deploying data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham, including air gapped, degraded connectivity, or multiclassification environments
  • 10+ years of experience developing secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in greenfield or legacy modernization efforts
  • 10+ years of experience implementing DevSecOps practices, including containerization, orchestration, CI/CD, and automated testing within constrained or limited toolchain environments
  • 10+ years of experience integrating AI/ML capabilities into production workflows or operator tooling, such as LLM enabled assistants, model augmented decision aids, or automation solutions
  • 10+ years of experience making architectural tradeoffs under constrained mission conditions, including limited infrastructure, fragmented networks, evolving requirements, or high-pressure operational timelines
  • Experience rapidly learning unfamiliar technologies, developing hands on proficiency, and guiding engineering teams through full lifecycle implementation
  • Experience communicating architectural decisions and solution impacts to engineering teams, government clients, and senior nontechnical stakeholders
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience supporting multi cloud, multi enclave, or multiclassification architectures, including environments spanning NIPR, SIPR, JWICS, or coalition networks
  • Experience contributing to major defense programs or largescale systems integration efforts, including navigating acquisition, compliance, or bureaucratic constraints
  • Experience supporting DoD installations, operational units, or C2 systems in environments with incomplete documentation, degraded systems, or inconsistent technical baselines
  • Experience developing agentic workflows, automation pipelines, or custom tooling that improved engineering velocity or reduced operator burden
  • Experience serving as a senior technical lead or architect responsible for end-to-end solution delivery
  • Experience working on tiger teams, flyaway teams, or rapid response engineering missions requiring accelerated delivery under complex conditions
  • Top Secret clearance
  • Architecture frameworks Certifications such as AWS, Palantir Foundry or Gotham, or Kubernetes Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914