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Remote Data Engineer Jobs in Hawaii (NOW HIRING)

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 ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Agentic AI and Data Engineer

Honolulu, HI · On-site +1

$113K - $136K/yr

R0234847 Agentic AI and Data Engineer The Opportunity: As an experienced engineer, you know how to ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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 ...

Senior AI/ML Engineer

Honolulu, HI · On-site +1

$103K - $141K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ...

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 ...

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 ...

AI Automation Engineer -Remote

Pearl City, HI · On-site +1

$202K - $234K/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 ...

AI Automation Engineer -Remote

Waipahu, HI · On-site +1

$202K - $234K/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 ...

AI Automation Engineer -Remote

Honolulu, HI · On-site +1

$202K - $234K/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 ...

AI Automation Engineer -Remote

Mililani, HI · On-site +1

$202K - $234K/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 Data Engineer information

See Hawaii salary details

$46.2K

$134.8K

$184.4K

How much do remote data engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote 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 Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
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 job categories do people searching Remote Data Engineer jobs in Hawaii look for? The top searched job categories for Remote Data Engineer jobs in Hawaii are:
What cities in Hawaii are hiring for Remote Data Engineer jobs? Cities in Hawaii with the most Remote Data Engineer job openings:
Data Engineer with Security Clearance

Data Engineer with Security Clearance

Gridiron IT Solutions

Honolulu, HI • On-site, Remote

$110K - $225K/yr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago


Job description

Data Engineer Location: Honolulu, HI
Work Type: Full-Time / Onsite
Remote Work: No
Job Description Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence. As a data engineer, you’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you’ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. You Have:?? 10+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in restricted or classified settings 10+ years of experience designing and deploying data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham, including air gapped, degraded connectivity, or multiclassification environments 10+ years of experience developing secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in greenfield or legacy modernization efforts 10+ years of experience implementing DevSecOps practices, including containerization, orchestration, CI/CD, and automated testing within constrained or limited toolchain environments 10+ years of experience integrating AI/ML capabilities into production workflows or operator tooling, such as LLM enabled assistants, model augmented decision aids, or automation solutions 10+ years of experience making architectural tradeoffs under constrained mission conditions, including limited infrastructure, fragmented networks, evolving requirements, or high-pressure operational timelines Experience rapidly learning unfamiliar technologies, developing hands on proficiency, and guiding engineering teams through full lifecycle implementation Experience communicating architectural decisions and solution impacts to engineering teams, government clients, and senior nontechnical stakeholders Secret clearance Bachelor’s degree Nice If You Have:?? Experience supporting multi cloud, multi enclave, or multiclassification architectures, including environments spanning NIPR, SIPR, JWICS, or coalition networks Experience contributing to major defense programs or largescale systems integration efforts, including navigating acquisition, compliance, or bureaucratic constraints Experience supporting DoD installations, operational units, or C2 systems in environments with incomplete documentation, degraded systems, or inconsistent technical baselines Experience developing agentic workflows, automation pipelines, or custom tooling that improved engineering velocity or reduced operator burden Experience serving as a senior technical lead or architect responsible for end-to-end solution delivery Experience working on tiger teams, flyaway teams, or rapid response engineering missions requiring accelerated delivery under complex conditions Top Secret clearance Architecture frameworks Certifications such as AWS, Palantir Foundry or Gotham, or Kubernetes Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation and Benefits
Salary Range: $110,000 - $225,000 (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.) Benefits: Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees. Full-time and part-time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron’s benefits programs. Gridiron IT Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status. Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations.