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Full Stack Data Engineer Jobs in Hawaii (NOW HIRING)

Booz Allen Hamilton

Data Engineer

Honolulu, HI

$113.10K - $135.80K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... full lifecycle implementation * Experience communicating architectural decisions and solution ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI

$113.20K - $136K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... full lifecycle implementation * Experience communicating architectural decisions and solution ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$113.10K - $135.80K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... full lifecycle implementation * Experience communicating architectural decisions and solution ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$113.10K - $135.80K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... full lifecycle implementation * Experience communicating architectural decisions and solution ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Honolulu, HI · On-site

$99K - $225K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... full lifecycle implementation * Experience communicating architectural decisions and solution ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$77.60K - $176K/yr

Share Data Engineer The Opportunity : Booz Allen is seeking a Data Engineer or Data Scientist to ... You'll contribute to the full software development lifecycle, from requirements gathering to ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$77.60K - $176K/yr

Data Engineer The Opportunity : Booz Allen is seeking a Data Engineer or Data Scientist to support ... You'll contribute to the full software development lifecycle, from requirements gathering to ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI

$77.60K - $176K/yr

You'll contribute to the full sof t war e development lifecycle, from requirements gathering to ... Collaborate with data engineers, analysts, and mission stakeholders to refine data models and ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Honolulu, HI

$77.60K - $176K/yr

Data Engineer The Opportunity : Booz Allen is seeking a Data Engineer or Data Scientist to support ... You'll contribute to the full sof t war e development lifecycle, from requirements gathering to ...

Cymertek

Big Data Engineer

Honolulu, HI · On-site

$55 - $73/hr

Big Data Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data ...

Cymertek

Big Data Engineer

Honolulu, HI

$55 - $73/hr

Big Data Engineer LOCATIONHonolulu, HI 96815 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are looking for a skilled and motivated Big Data ...

Booz Allen Hamilton

Agentic AI and Data Engineer

Honolulu, HI · On-site +1

$113.10K - $135.80K/yr

... stack capabilities, including structured prompting, tool use,workflow orchestration, and multi ... engineers, data scientists, solutions architects, and product owners to deliver world-class ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Hawaii

Full Stack Data Engineer information

See Hawaii salary details

$46.2K

$140K

$197.9K

How much do full stack data engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for full stack data engineer in Hawaii is $140,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,300.00 and $164,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

How does a Full Stack Data Engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a Full Stack Data Engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Full Stack Data Engineer jobs in Hawaii? For Full Stack Data Engineer jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Hawaii look for? The top searched job categories for Full Stack Data Engineer jobs in Hawaii are:
What cities in Hawaii are hiring for Full Stack Data Engineer jobs? Cities in Hawaii with the most Full Stack Data Engineer job openings:
Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Hawaii as of May 2026, with employment types broken down into 83% Full Time, 8% Part Time, 2% Temporary, and 7% Contract. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $140,021 per year, or $67.3 per hour.

Full-Stack Engineer at early-stage consumer social app

Cheez

Honolulu, HI

Full-time

Posted 8 days ago

Job description

Cheez (https://cheez.cc/wayupeng) is a new app that sends you the pictures that your friends take of you, powered by facial recognition.

Responsibilities:

  • Collaborate with product and design teams (ex-Google/FB/Apple/Microsoft) to develop, test, and launch new features and improvements for our consumer social app.

  • Write clean, maintainable, and scalable code using modern web development technologies and best practices.

  • Develop and maintain both front-end and back-end components, ensuring seamless integration and optimal performance.

  • Troubleshoot and debug issues, implement fixes, and optimize application performance.

  • Participate in code reviews, provide constructive feedback, and contribute to a positive team culture.

  • Stay up-to-date with emerging technologies, industry trends, and best practices to continuously improve our product and development processes.

  • Contribute to our agile development methodology, attending daily stand-ups, sprint planning, and retrospective meetings.

  • Minimum 2-3 years of software engineering experience

  • Have built mobile apps (and/or web apps) full-stack before

  • Enthusiastic about photo sharing and/or AI and/or social media

Apply