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Remote Amazon Data Engineer Jobs in Hawaii (NOW HIRING)

SAIC

Data Scientist

Honolulu, HI · On-site +1

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an experienced Data Scientist to join our Technical Engineering and Design Department in support of our United ...

SAIC

Data Scientist

Honolulu, HI · On-site +1

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an experienced Data Scientist to join our Technical Engineering and Design Department in support of our United ...

DataAnnotation

Data Science Consultant

Honolulu, HI · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

Progress

Senior Principal Consultant

Honolulu, HI · Remote

... Amazon) or Azure Virtual Machines, Azure Blob Storage, Managed Disks, Entra ID (Azure). * JSON or XML data modeling. * Experience across multiple programming tools, package managers, and common ...

Progress

Senior Principal Consultant

Honolulu, HI · Remote

... Amazon) or Azure Virtual Machines, Azure Blob Storage, Managed Disks, Entra ID (Azure). * JSON or XML data modeling. * Experience across multiple programming tools, package managers, and common ...

Progress

Senior Principal Consultant

Honolulu, HI · On-site +1

... Amazon) or Azure Virtual Machines, Azure Blob Storage, Managed Disks, Entra ID (Azure). * JSON or XML data modeling. * Experience across multiple programming tools, package managers, and common ...

Progress

Senior Principal Consultant

Honolulu, HI · Remote

... Amazon) or Azure Virtual Machines, Azure Blob Storage, Managed Disks, Entra ID (Azure). * JSON or XML data modeling. * Experience across multiple programming tools, package managers, and common ...

Quora

AI Automation Engineer -Remote

Mililani, HI · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Pearl City, HI · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Waipahu, HI · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Honolulu, HI · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

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Remote Amazon Data Engineer information

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

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are popular job titles related to Remote Amazon Data Engineer jobs in Hawaii? For Remote Amazon Data Engineer jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Hawaii look for? The top searched job categories for Remote Amazon Data Engineer jobs in Hawaii are:
What cities in Hawaii are hiring for Remote Amazon Data Engineer jobs? Cities in Hawaii with the most Remote Amazon Data Engineer job openings:
Remote Amazon Data Engineer jobs near you
Data Scientist

Data Scientist

SAIC

Honolulu, HI • On-site, Remote

$120K - $160K/yr

Other

Posted 12 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

68th of 203 rated it services

Job description

Job ID: 2611572
Location: Honolulu, HI, US
Date Posted: 2026-04-29
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: TS.SCI
Clearance Level Must Be Able to Obtain: TS/SCI with Poly
Potential for Remote Work: ORA_ON_SITE
Description
SAIC is seeking an experienced Data Scientist to join our Technical Engineering and Design Department in support of our United States Air Force customer. This position is on-site Honolulu, Hawaii.
Responsibilities
Essential Functions/Job Duties:
  • Develops and implements data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
  • Highly desirable for candidate with experience with AI/ML to design, train, test, and deploy AI and ML models to extract insights and predictions from structured, unstructured, and classified data sources. Apply techniques such as natural language processing (NLP), image recognition, neural networks, and predictive analytics to enhance decision-making processes across diverse DoD missions.
  • Experience with classified data feeds, ensuring the proper handling of sensitive information to remain compliant with DoD and national security regulations. Implement advanced data pre-processing, cleansing, and security protocols suitable for classified datasets.
  • Visualizes, interprets, and reports data findings in dynamic data reports.
  • Employs a variety of data manipulation and visualization tools to best convey information/results to customers.
  • Comfortable working with data in a variety of formats including excel, CSV, JSON, XML.
  • Supports the design, development, testing and implementation of web based collaboration tools & platforms for data reporting. Plans and conducts software integration or testing, including analyzing and implementing test plans and scripts, in support of analytics objectives.
  • Demonstrates proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL.
  • Familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar.
  • Conduct exploratory data analysis for testing hypothesis.
  • Utilization of Microsoft's Power BI, Tableau, and other toolsets to visualize data and share insights with senior decision makers.
  • Proficient in Grafana as an open-source analytics and interactive visualization web application for monitoring application performance.

Qualifications
TYPICAL EDUCATION AND EXPERIENCE: Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience.
Skills/Qualifications:
  • Five (5) years of relevant experience required.

Customer Interface Activities:
  • Effective inter-personnel and customer service skills required to interface with corporate customers.
  • Ability to effectively communicate with the Customer, command staff, and peer contractor personnel.

Project Management / Staff Supervision Tasks:
  • Ability to manage and prioritize tasks to ensure optimum productivity.

Work Schedule:
  • 40 hours weekly.
  • The ability to work non-standard work hours and schedules in support of project requirements.
  • Long distance (>500 miles) travel to other US Government and Contractor facilities, as required.
  • Travel:

Minimum Education Requirements:
  • Bachelor of Science required in the following preferred fields; Computer Science, Data Science, EE, ME, IE, Physics, Information Systems or Information Technology.
  • U.S. Citizenship is required.

Security Clearance:
  • Candidates must have an active TOP SECRET/SCI clearance OR the ability to obtain a US Government TS/SCI security clearance and will be subject to a US security background investigation (i.e. favorable background investigation / credit score). Additional eligibility requirements for access to various levels of classified information may also be required. An active security clearance is highly desirable.
  • Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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