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Remote Data Governance Jobs in Hawaii (NOW HIRING)

SAIC

Data Operations Engineer Principal

Honolulu, HI · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Operations Engineer ... Partner with security and governance teams to enforce encryption, authentication, authorization ...

Intuit

Manager, Partner Program Operations

Honolulu, HI · Remote

$210K - $284K/yr

... the governance that holds it all together. You will own the redefined Sales Ops remit for GPP ... Represent Partner Program Operations with GPP Program Design, Partner Sales, Data and Systems ...

Intuit

Manager, Partner Program Operations

Honolulu, HI · On-site +1

$210K - $284K/yr

... governance that holds it all together. You will own the redefined Sales Ops remit for GPP - the ... Represent Partner Program Operations with GPP Program Design, Partner Sales, Data and Systems ...

Workiva

$21/hr

Maintain data integrity in Salesforce and Marketo * Perform in-depth analysis measuring marketing ... Conduct a website content audit, including brand voice, SEO optimization, and governance * Work in ...

Workiva

$21/hr

Maintain data integrity in Salesforce and Marketo * Perform in-depth analysis measuring marketing ... Conduct a website content audit, including brand voice, SEO optimization, and governance * Work in ...

Workiva

$21/hr

Maintain data integrity in Salesforce and Marketo * Perform in-depth analysis measuring marketing ... Conduct a website content audit, including brand voice, SEO optimization, and governance * Work in ...

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How much do remote data governance jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote data governance in Hawaii is $56.91, according to ZipRecruiter salary data. Most workers in this role earn between $42.21 and $69.66 per hour, depending on experience, location, and employer.

What is a remote data governance?

A Remote Data Governance job involves creating and enforcing policies, procedures, and standards for managing data across an organization while working remotely. Professionals in this role ensure data quality, security, accessibility, and compliance with industry regulations. They collaborate with IT, legal, and business teams to implement data governance frameworks, monitor data usage, and mitigate risks. Strong analytical, communication, and technical skills are essential for success in this role.

What are the key skills and qualifications needed to thrive in remote data governance?

To thrive as a Remote Data Governance professional, you need a solid understanding of data management principles, data quality standards, compliance regulations, and experience with data governance frameworks, often backed by a degree in information systems or a related field. Familiarity with tools such as Collibra, Informatica, or Microsoft Purview, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong analytical thinking, clear communication, and the ability to collaborate across remote teams are key soft skills for this position. These capabilities are vital for ensuring data integrity, regulatory compliance, and smooth coordination in a distributed work environment.

What are some typical challenges faced in remote data governance, and how can I prepare to address them?

Professionals in remote data governance roles often encounter challenges such as aligning data standards across geographically dispersed teams, ensuring up-to-date documentation, and maintaining consistent communication around data policies. To be successful, it's important to develop proactive communication habits, learn remote collaboration tools, and stay organized with project management systems. Regularly participating in cross-team meetings and continuous professional development in data governance best practices can help you navigate these obstacles. Being adaptable and solution-oriented will enable you to effectively support your organization's data governance initiatives while working remotely.

What are the most commonly searched types of Data Governance jobs in Hawaii?

The most popular types of Data Governance jobs in Hawaii are:

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

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

What cities in Hawaii are hiring for Remote Data Governance jobs?

Cities in Hawaii with the most Remote Data Governance job openings:

Remote Data Governance jobs near you
Infographic showing various Remote Data Governance job openings in Hawaii as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,378 per year, or $56.9 per hour.

Data Operations Engineer Principal

Honolulu, HI • On-site, Remote

SAIC
IT Services • 10K+ employees
Learn more about SAICexternal

$120K - $160K/yr

Full-time

Re-posted 2 days ago

SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 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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