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Data Engineer Jobs in Hawaii (NOW HIRING)

Booz Allen Hamilton

$61K - $141K/yr

R0239377 Data Engineer and Application Developer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured ...

Atreides

HI · Hybrid

$122K - $147K/yr

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 ...

KBR

Data Engineer with Security Clearance

Honolulu, HI

$113K - $135K/yr

Data Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national ...

Atreides

HI · On-site

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 ...

Booz Allen Hamilton

Agentic AI and Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

Agentic AI and Data Engineer The Opportunity: As an experienced engineer, you know how to design, develop, and deliver production-grade agentic AI systems thatdemonstratethe practical value of ...

Booz Allen Hamilton

Data Scientist

Honolulu, HI · On-site

$61K - $141K/yr

Here, you'll learn from a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll grow your skills in analytical exploration and ...

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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.
Data Engineer - Senior Level with Security Clearance

Data Engineer - Senior Level with Security Clearance

Bluehawk, LLC

Honolulu, HI

$113K - $135K/yr

Other

Posted 15 days ago

Job description

Overview The Data Engineer designs, develops, and maintains scalable data architectures and pipelines that enable advanced intelligence analysis across the Joint Intelligence Operations Center (JIOC). This role is responsible for implementing robust extract, transform, load (ETL) workflows, real-time data processing solutions, and data integration frameworks that support multi-INT datasets and mission-critical intelligence operations. The Data Engineer ensures that all data systems adhere to Intelligence Community (IC) security, governance, and compliance standards while enabling analysts and mission partners to access reliable, high-quality, and timely intelligence data. Responsibilities * Design and implement scalable and resilient data architectures capable of supporting complex intelligence missions and growing data volumes.
* Develop automated ETL and data transformation processes to ingest, normalize, and integrate data from diverse and non-standard intelligence sources.
* Build optimized data storage solutions using SQL and NoSQL technologies tailored to JIOC's analytic requirements.
* Create and maintain batch and real-time data pipelines to provide consistent, timely access to mission-critical datasets.
* Implement data quality validation mechanisms and monitoring systems to ensure the accuracy, completeness, and reliability of intelligence data.
* Optimize database performance and data retrieval patterns to support rapid intelligence production and analyst workflows.
* Apply data governance and security best practices to ensure compliance with IC and DoD data management policies.
* Maintain detailed documentation, including data dictionaries, schema definitions, and data lineage tracking.
* Implement and maintain data security measures aligned with classification guidelines and compartmentation requirements.
* Collaborate closely with intelligence analysts, data scientists, and computer scientists to translate analytic needs into technical data solutions.
* Participate in JIOC planning conferences, technical working groups, capability development meetings, and national-level intelligence coordination forums to align data engineering solutions with mission needs. Qualifications Education * Master's degree in Computer Science, Information Systems, Data Science, or related technical field (preferred).
Required Skills * Advanced expertise across multiple database technologies, including distributed storage and big data frameworks.
* Deep understanding of cloud-native architectures, serverless computing, and containerization.
* Knowledge of DoD and IC-specific cybersecurity and data protection requirements.
* Industry-recognized certifications in cloud or data technologies (e.g., AWS Solutions Architect, Azure Data Engineer).
* Experience architecting, deploying, and optimizing large-scale, mission-critical data systems.
* Proven ability to solve complex data integration and engineering challenges.
* Experience leading technical teams or serving as a lead engineer on enterprise data projects.
* Ability to translate intelligence requirements into scalable, secure data architectures.
* Strong communication skills for briefing senior leadership and non-technical audiences.
Experience * Minimum 7-10 years of progressive data engineering experience, including at least 3 years supporting intelligence or defense missions. Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity

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