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No Experience Data Engineer Jobs in Hawaii (NOW HIRING)

Data Engineer - Jr.

Pearl City, HI · On-site

$75 - $95/hr

Overview The Data Engineer designs, develops, and maintains scalable data architectures and ... Experience with SQL and NoSQL database systems (e.g., PostgreSQL, MySQL, MongoDB, Elasticsearch)

Data Scientist - Jr.

Pearl City, HI · On-site

$80 - $100/hr

Proficiency in Python, R, SQL, or similar programming languages. * Experience with data ... visualization platforms such as Power BI or Tableau. * Strong understanding of statistical ...

This job typically requires no experience. * The data science intern will help drive proactive and ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

This job typically requires no experience. * The data science intern will help drive proactive and ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

$35/hr

This job typically requires no experience. * The data science intern will help drive proactive and ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

This job typically requires no experience. * The data science intern will help drive proactive and ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

$35/hr

This job typically requires no experience. * The data science intern will help drive proactive and ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

$35/hr

This job typically requires no experience. * The data science intern will help drive proactive and ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

$35/hr

This job typically requires no experience. * The data science intern will help drive proactive and ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

This job typically requires no experience. * The data science intern will help drive proactive and ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

This job typically requires no experience. * The data science intern will help drive proactive and ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

This job typically requires no experience. * The data science intern will help drive proactive and ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

This job typically requires no experience. * The data science intern will help drive proactive and ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

This job typically requires no experience. * The data science intern will help drive proactive and ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

New

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Showing results 1-20

No Experience Data Engineer information

See Hawaii salary details

$46.2K

$134.8K

$184.4K

How much do no experience data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for no experience 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 a no experience data engineer?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

What skills and qualifications are needed to thrive as a no experience data engineer?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.

How can entry-level data engineers quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

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 No Experience Data Engineer jobs in Hawaii?

For No Experience Data Engineer jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching No Experience Data Engineer jobs in Hawaii look for?

The top searched job categories for No Experience Data Engineer jobs in Hawaii are:

What cities in Hawaii are hiring for No Experience Data Engineer jobs?

Cities in Hawaii with the most No Experience Data Engineer job openings:

Infographic showing various No Experience Data Engineer job openings in Hawaii as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 65% In-person, and 35% Remote job distribution, with an average salary of $134,770 per year, or $64.8 per hour.

Data Engineer - Jr.

Bluehawk, LLC

Pearl City, HI • On-site

$75 - $95/hr

Other

Posted 4 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

  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related technical field.

Required Skills

  • Proficiency in core data engineering programming languages, especially Python.
  • Experience with SQL and NoSQL database systems (e.g., PostgreSQL, MySQL, MongoDB, Elasticsearch).
  • Solid understanding of ETL/ELT tools, workflow orchestration frameworks, and data pipeline development.
  • Hands‑on experience with cloud‑based data platforms (AWS, Azure, GCP, etc.).
  • Understanding of data governance, metadata management, and IC data security requirements.
  • Experience optimizing database performance and developing highly efficient queries.
  • Ability to integrate structured and unstructured data from multiple intelligence data sources.
  • Familiarity with intelligence data types and collection methodologies is preferred.

Experience

  • Minimum 1-2 years of experience in data engineering, database development, or related technical roles.

Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity

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