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Remote Data Platform Engineer Jobs in Hawaii (NOW HIRING)

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Operations Engineer ... You'll partner closely with data engineers, platform engineers, analytics teams, and security ...

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0245942 Location: Honolulu,HI,US Share job via: Share Data ... You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful.

Foundry Data Engineer

Honolulu, HI · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245813 Location: Honolulu,HI,US Share job via: Share Foundry Data ... You'll develop and deploy the pipelines and platforms that organize and make disparate data ...

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0244293 Location: Honolulu,HI,US Share job via: Share Data Engineer ... platforms that organize and make disparate data meaningful. Here, you'll mentor a multi ...

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0240103 Location: Honolulu,HI,US Share job via: Share Data Engineer ... platforms that organize and make disparate data meaningful. Here, you'll mentor a multi ...

Kafka Data Engineer

Honolulu, HI · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241130 Location: Honolulu,HI,US Share job via: Share Kafka Data ... Experience utilizing observability platforms such as Elastic or Datadog to configure monitoring for ...

Data Security Engineer

Honolulu, HI · On-site +1

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0240137 Location: Honolulu,HI,US Share job via: Share Data Security ... Knowledge of Virtru Data Security Platform (DSP) and Kafka * Secret clearance * HS diploma or GED ...

Data Security Engineer

Honolulu, HI · On-site +1

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0240134 Location: Honolulu,HI,US Share job via: Share Data Security ... Knowledge of Virtru Data Security Platform (DSP) and Kafka * Knowledge of Trusted Data Format (TDF ...

Agentic AI and Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You will design solutions deployable across various contexts,from cloud-hosted platforms to ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

GTM Engineer

Honolulu, HI · On-site +1

$99K - $137K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... connect ad-platform engagement to down-funnel pipeline data, and build the testing/bidding ... Remote candidates must be available during Hawaii Standard Time (HST / UTC-10) business hours, with ...

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

You will work closely with data scientists, software engineers, and product teams to build ... Deploy ML models using cloud platforms and containerization technologies. * Monitor model ...

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Poe : a platform providing millions of global users with one place to chat, explore and build with ... Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ...

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Poe : a platform providing millions of global users with one place to chat, explore and build with ... Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ...

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Poe : a platform providing millions of global users with one place to chat, explore and build with ... Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ...

AI Software Engineer, Senior

Honolulu, HI · On-site +1

$121K - $159K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0244309 Location: Honolulu,HI,US Share job via: Share AI Software ... Working alongside data engineers, data scientists, solution architects, and product owners, you'll ...

$166K - $191K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Poe : a platform providing millions of global users with one place to chat, explore and build with ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence ... With data fusion and mission management capabilities for the Department of Defense, the combatant ...

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Showing results 1-20

Remote Data Platform Engineer information

See Hawaii salary details

$46.2K

$134.8K

$184.4K

How much do remote data platform engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data platform 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 Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the key skills and qualifications needed to thrive as a remote data platform engineer?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

What are popular job titles related to Remote Data Platform Engineer jobs in Hawaii?

For Remote Data Platform Engineer jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Remote Data Platform Engineer jobs in Hawaii look for?

The top searched job categories for Remote Data Platform Engineer jobs in Hawaii are:

What cities in Hawaii are hiring for Remote Data Platform Engineer jobs?

Cities in Hawaii with the most Remote Data Platform Engineer job openings:

Infographic showing various Remote Data Platform Engineer job openings in Hawaii as of July 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 100% Remote job distribution, with an average salary of $134,770 per year, or $64.8 per hour.

Data Operations Engineer Principal

SAIC

Honolulu, HI • On-site, Remote

$120K - $160K/yr

Full-time

Posted 6 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services


Job description

Job ID: 2615413

Location: Honolulu, HI, US

Date Posted: 2026-08-11

Category: Information Technology

Subcategory: Big Data Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves data across security domains using cross domain solutions (CDS) / guards. You will be responsible for the reliable flow of streaming data from a wide range of sources into our data platform, ensuring data quality, observability, and scalability.

You'll partner closely with data engineers, platform engineers, analytics teams, and security/governance personnel to deliver trustworthy, low-latency data that supports operational decisions — while ensuring compliance with cross-domain and data classification requirements. This position is on-site in Honolulu, HI.

Key Responsibilities

  • Aid the team in delivering continual data feeds to users and monitoring the health of data quality and overall data ingest.
  • Design, build, and maintain resilient real-time/near-realtime ingestion pipelines using Apache NiFi and REST APIs, with appropriate backpressure, prioritization, retries, and error-handling strategies.
  • Configure and monitor data flows moving across security domains via cross domain guards/solutions, ensuring data integrity and compliance with transfer policies.
  • Parse, transform, validate, and route structured and unstructured data in a variety of formats, including Excel, CSV, JSON, and XML.
  • Employ data manipulation and visualization tools (e.g., Grafana, Prometheus) to effectively convey pipeline status, data quality, and historical trends to leadership, users, and the data team.
  • Collaborate with platform, software, and other data engineers to (re)configure and continuously improve data ingestion pipeline reliability.
  • Develop and maintain software/scripts to automate monitoring of real-time feeds and alert on timeliness, volume, lineage, and distribution data issues.
  • Translate learnings from historical pipeline data into actionable steps to improve data ingest reliability and performance.
  • Partner with security and governance teams to enforce encryption, authentication, authorization, and data classification requirements across pipelines and cross-domain transfers.
  • Write and maintain scripts (Python, Bash, or similar) to automate data processing, validation, and monitoring tasks.
  • Document data flows, system configurations, and standard operating procedures.

Qualifications

  • TYPICAL EDUCATION AND EXPERIENCE: Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
  • U.S. Citizenship and an active TS/SCI clearance.
  • Bachelor of Science degree in Computer Science, Mathematics, Electrical Engineering, Physics, Information Systems, Information Technology, or related field.
  • 3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
  • Proficiency in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications.
  • Working knowledge of the Linux (RedHat) command line; familiarity with Windows environments.
  • Solid understanding of data engineering fundamentals: data pipelines, streaming architectures, ETL/ELT concepts, and data quality principles.
  • Familiarity with JSON, XML, CSV, and Excel data formats, parsing, and transformation.

Preferred Qualifications (Nice to Have)

  • Experience with streaming/messaging platforms and tools: Kafka, JMS, Apache Flink/Spark Streaming.
  • Experience with monitoring/observability tools: Grafana, Prometheus, Elasticsearch.
  • Experience with data platforms such as Snowflake.
  • Familiarity with cross domain solutions/guards (e.g., data diode concepts, transfer validation, content filtering).
  • Experience enforcing encryption, authentication/authorization, and data classification policies in partnership with security/governance teams.
  • Experience with version control tools (e.g., Git) and Agile/Scrum practices.
  • Prior experience in a government, defense, or intelligence community environment.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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