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Data Engineer Jobs in Hawaii (NOW HIRING)

Cymertek

Software Engineer

Honolulu, HI · On-site

Understanding of algorithms and data structures * Familiarity with Agile methodologies DESIRED SKILLS * Knowledge of cloud platforms (e.g., AWS, Azure) * Familiarity with DevOps practices

Cymertek

Software Engineer

Honolulu, HI

Understanding of algorithms and data structures * Familiarity with Agile methodologies DESIRED SKILLS * Knowledge of cloud platforms (e.g., AWS, Azure) * Familiarity with DevOps practices

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and create scalable models that deliver real-world value. If you are passionate about ...

ManTech

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

In this role you will support cutting-edge analytics, machine learning, and data engineering techniques to deliver strategic and tactical insights that enhance readiness, agility, and operational ...

Cymertek

Machine Learning Engineer

Honolulu, HI

You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and create scalable models that deliver real-world value. If you are passionate about ...

ManTech International

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

In this role you will support cutting-edge analytics, machine learning, and data engineering techniques to deliver strategic and tactical insights that enhance readiness, agility, and operational ...

GDIT

AI Engineer SME

Honolulu, HI · On-site +1

$169K - $229K/yr

Data Science and Data Engineering Job Qualifications: Skills: AI Integration, Artificial Intelligence Strategy, Automation Frameworks, Data Science, Predictive Analytics Certifications: None ...

Booz Allen Hamilton

Data Analyst

Honolulu, HI

$77K - $176K/yr

Experience in data engineering and programming languages such as R, Python, or SQL * Experience with social media monitoring tools such as Talkwalker, Sprinklr, or Meltwater * Experience with ...

Booz Allen Hamilton

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

Experience in data engineering and programming languages such as R, Python, or SQL * Experience with social media monitoring tools such as Talkwalker, Sprinklr, or Meltwater * Experience with ...

Booz Allen Hamilton, Inc.

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

Experience in data engineering and programming languages such as R, Python, or SQL * Experience with social media monitoring tools such as Talkwalker, Sprinklr, or Meltwater * Experience with ...

Booz Allen Hamilton, Inc.

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

Experience in data engineering and programming languages such as R, Python, or SQL * Experience with social media monitoring tools such as Talkwalker, Sprinklr, or Meltwater * Experience with ...

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All JobsData Engineer JobsData Engineer Jobs in Hawaii

Data Engineer information

See Hawaii salary details

$46.2K

$134.8K

$184.4K

How much do data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data engineer in Hawaii is $134,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $142,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Hawaii? The most popular types of Data Engineer jobs in Hawaii are:
What are popular job titles related to Data Engineer jobs in Hawaii? For Data Engineer jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Hawaii look for? The top searched job categories for Data Engineer jobs in Hawaii are:
What cities in Hawaii are hiring for Data Engineer jobs? Cities in Hawaii with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in HI? For Data Engineer jobs in HI, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Hawaii as of June 2026, with employment types broken down into 90% Full Time, 5% Temporary, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $134,770 per year, or $64.8 per hour.
Forward Deployed Engineer, Palantir Foundry - Honolulu, HI

Forward Deployed Engineer, Palantir Foundry - Honolulu, HI

Accenture Federal Services

Honolulu, HI

Full-time

Posted 10 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 428 rated business services

Job description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!

As a Forward Deployed Engineer at AFS, you will be responsible for helping our clients solve their most pressing challenges, from the battlefield to supply chains, benefits programs, and broader government operations. You will work as part of a small team of engineers, domain experts, and other Deployment Strategists to turn a client's vision into reality by deploying Palantir software and building tailored solutions that make a measurable impact on their operations.

Day-to-Day Responsibilities
  • Collaborative Teamwork: Partner with engineers, program managers, and domain specialists to conceive, architect, build, and maintain applications that meet AFS clients' needs.
  • Data Synthesis: Understand a client's most critical objectives and synthesize disparate information into a cohesive vision and actionable roadmap, interpreting what the data signifies and outlining an impact-based plan to rapidly go from use case to prototype to scaled deployment.
  • Rapid Iteration: Quickly iterate, build from scratch, and help transform clients' operations at uncommon speed. You won't just deploy software—you'll help reshape how entire organizations work by putting powerful tools in the hands of executives and real operators.
  • Production-Grade Solutions: Develop production-grade solutions that make sense of the client's data and process it through an actionable workflow that can help clients make better decisions.
  • Collaboration: Collaborate with technical and non-technical colleagues to define solution requirements, iterate on the solution, and ship code.
What We Look For
  • Client Success Obsession: A deep commitment to helping clients succeed, even beyond the original scope. You thrive on solving hard customer problems and take pride in delivering solutions that drive real value.
  • Analytical & Problem-Solving Skills: Strong abilities in breaking down complex problems and constructing end-to-end solutions that work.
  • Technical Proficiency: Proficiency in relevant programming languages (e.g., Python, TypeScript) and the ability to build applications that utilize large structured and unstructured datasets in production environments.
  • Independent Ownership: Capability to work autonomously while owning outcomes, with support available but a desire to take the driver's seat.
  • Real-World Impact Delivery: A proven track record of delivering meaningful outcomes through software and analytical products.
  • Collaborative Skills: Strong ability to collaborate with teammates and clients of varying technical proficiency, embedding with clients and joining their teams.
  • Willingness to Travel: Flexibility to travel as needed for client implementation work.

In this role, you'll iterate quickly, build from scratch, and help organizations transform their operations at uncommon speed. You won't just deploy software—you'll help reshape how entire organizations function by providing powerful tools to those who can drive change.

Here's what you need:

  • Palantir Foundry: Proven experience building data pipelines, managing datasets, and deploying applications within Foundry. Specifics required are as follows:

    • Practical skills required to build and maintain production-grade data pipelines, data connections, and ontologies
    • General knowledge of platform capabilities and specific applications within the Foundry suite that are useful for performing the job of data engineer
    • Data pipeline development in Foundry
      • Develop transforms on structured (tabular) and unstructured datasets in Foundry
      • Apply best practices when building data pipelines
    • Data pipeline maintenance in Foundry
      • Effectively investigate and fix common issues in data pipelines
      • Contribute to logic changes and performance improvements to transform pipelines feeding mission critical workflows
      • Familiarity with recommended support structures
    • Data connection and integration in Foundry
      • Familiarity with architecture and capabilities of Data Connection
      • Set up sources and syncs ingesting tabular data or raw files from external systems to Foundry
    • Ontology design and development in Foundry
      • Provide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirements
  • Bachelor's degree in Computer Science or related field
  • Demonstrated ability to build production-grade code that leverages both structured and unstructured datasets
  • Strong foundation in machine learning
  • Strong programming skills with demonstrated proficiency in Python, Java, C++, TypeScript/ JavaScript, or similar
  • Ability to travel, dependent on client and team

Bonus points if you have:

  • Experience building solutions with large language models
  • Active government security clearance #LI-DataAI

#LI-DataAI

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is:
$126,300—$243,100 USD
What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
Requesting An Accommodation
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

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