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Data Governance Engineer Jobs in Hawaii (NOW HIRING)

Kavaliro

$111K - $134K/yr

Coordinate with platform engineering and operations teams to test data availability and format ... data governance policy, and classification/releasability guidance. Maintain documentation ...

Socket.dev

Senior Data Scientist

Waimanalo, HI · On-site

$120 - $170/hr

Knowledge of data warehousing, ETL processes, and data governance principles. * Experience with programming languages such as Python or R for data analysis and automation. * Familiarity with AWS ...

Cymertek

Big Data Architect

Honolulu, HI · On-site

$63 - $81/hr

Develop and enforce data governance policies * Collaborate with teams to define data strategies ... Advanced programming in Python or Scala * Strong knowledge of NoSQL databases * Ability to design ...

Servco

Data Engineer II

Honolulu, HI · On-site

$110K - $132K/yr

Governance & Security * Experience implementing policies and procedures to ensure the availability ... Data Engineering (Orchestration, Modeling & Warehousing) * Experience designing and implementing ...

Servco

Data Engineer II

Honolulu, HI

$113K - $135K/yr

Governance & Security * Experience implementing policies and procedures to ensure the availability ... Data Engineering (Orchestration, Modeling & Warehousing) * Experience designing and implementing ...

FocusKPI

Marketing Operations Analyst

Honolulu, HI · On-site

This includes driving data governance and consistency across systems, enabling effective audience ... Collaborate with cross-functional teams such as IT and engineering to integrate data from various ...

FocusKPI

This includes driving data governance and consistency across systems, enabling effective audience ... Collaborate with cross-functional teams such as IT and engineering to integrate data from various ...

FocusKPI

Marketing Operations Analyst

Mililani, HI · On-site

This includes driving data governance and consistency across systems, enabling effective audience ... Collaborate with cross-functional teams such as IT and engineering to integrate data from various ...

FocusKPI

Marketing Operations Analyst

Waipahu, HI · On-site

This includes driving data governance and consistency across systems, enabling effective audience ... Collaborate with cross-functional teams such as IT and engineering to integrate data from various ...

FocusKPI

Marketing Operations Analyst

Pearl City, HI · On-site

This includes driving data governance and consistency across systems, enabling effective audience ... Collaborate with cross-functional teams such as IT and engineering to integrate data from various ...

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Showing results 21-40

All JobsData Governance Engineer JobsData Governance Engineer Jobs in Hawaii

Data Governance Engineer information

See Hawaii salary details

$46.2K

$134.8K

$184.4K

How much do data governance engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data governance 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 are the key skills and qualifications needed to thrive as a data governance engineer?

To thrive as a Data Governance Engineer, you need a solid understanding of data management principles, metadata standards, data quality frameworks, and typically a degree in computer science, information systems, or a related field. Familiarity with data governance tools like Collibra, Informatica, or Alation, as well as proficiency in SQL, data modeling, and regulatory compliance frameworks such as GDPR, is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for collaborating with stakeholders and ensuring adherence to data policies. These skills and qualities are vital to maintain data integrity, compliance, and support informed business decision-making.

What is a data governance engineer?

Data Governance Engineers are professionals responsible for designing, implementing, and maintaining systems and processes that ensure data is accurate, consistent, secure, and compliant with relevant regulations. They work closely with data stewards, IT teams, and business units to create data policies, manage metadata, and oversee data quality initiatives. Their role is crucial in helping organizations maximize the value of their data assets while minimizing risks related to data privacy and misuse.

How does a data governance engineer typically collaborate with data stewards and business units to ensure data quality?

A Data Governance Engineer works closely with data stewards and various business units to define, implement, and monitor data quality standards. This involves facilitating cross-functional meetings, translating business requirements into technical data policies, and creating automated processes to enforce those standards. Regular collaboration ensures that data assets are accurate, secure, and compliant with regulations, while also supporting business goals. By acting as a bridge between technical teams and business stakeholders, Data Governance Engineers help foster a culture of data accountability and transparency.

Is data governance a good career?

Data Governance Engineer is a growing role focused on managing data quality, security, and compliance within organizations. It requires knowledge of data management tools, policies, and regulations, making it a stable and in-demand career path with opportunities for advancement. The field offers a blend of technical and strategic work, suitable for those interested in data integrity and organizational compliance.
What are popular job titles related to Data Governance Engineer jobs in Hawaii? For Data Governance Engineer jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Data Governance Engineer jobs in Hawaii look for? The top searched job categories for Data Governance Engineer jobs in Hawaii are:
What cities in Hawaii are hiring for Data Governance Engineer jobs? Cities in Hawaii with the most Data Governance Engineer job openings:
Data Governance Engineer jobs near you

Common Data Lake SME

Kavaliro

On-site

$111K - $134K/yr

Full-time

Posted 20 days ago

Job description

Job Description
Core Responsibilities 2.1 Data Source Ingestion & Operationalization
  • Approved Source Onboarding: Execute end-to-end ingestion, validation, and testing workflows for approved data sources (commercial feeds; government/classified data when authorized; DICE operational data flows; and ITMN dissemination feeds). Ensure each source is tested from ingestion through normalization, tagging, discovery, and practical availability to operational consumers. Work closely with DICE, J2 leadership and operational stakeholders to understand how approved sources meet operational requirements and integrate with existing workflows.
  • Source Validation & Experimentation: Design and conduct field validation experiments on candidate data sources to assess operational relevance, data quality, latency, and integration complexity. Document and present practical assessments to DICE, J2 leadership and stakeholders, providing technical input into source prioritization and roadmap decisions. Collaborate with both J2 and DICE operational teams to understand diverse requirements and integration needs across the enterprise.
  • Data Documentation & Operational Readiness: Maintain comprehensive data source documentation, including data provenance, update cadences, quality metrics, and operational employment notes. Ensure operators and decision-makers can discover and understand what data is available, how current it is, and how to employ it operationally.
  • Operational Data Quality: Monitor approved data sources to ensure they remain operationally viable-tracking data freshness, accuracy, completeness, and delivery timeliness. Identify issues and escalate to engineering team for resolution, or execute workarounds to maintain operational continuity for DICE, J2 and joint operations consumers.
2.2 Data Flow Testing & Integration
  • End-to-End Flow Validation:Validate data flows between the data lake, Kernos platform, DICE operations, ITMN dissemination network, and other operational systems. Test data movement across classification levels, network segments, and geographic locations. Identify chokepoints, latency, quality issues, and integration failures.
  • Integration & Interoperability: Coordinate with platform engineering and operations teams to test data availability and format consistency across dependent systems. Execute integration tests during system updates, new source additions, and operational exercises.
  • Network & Dissemination Testing: Work with ITMN network operations to validate that data dissemination flows function reliably to coalition partners, operational and interagency consumers. Test partner-releasable data products (IL2, unclassified) delivery mechanisms and timing.
  • Field Exercise & Real-World Validation: Deploy to JELC conferences, planning events, exercises, and integration activities to conduct live testing of data availability, quality, and utility under operational conditions. Document results and feed findings back to engineering team.
2.3 Operational Feedback & Requirements Liaison
  • Engagement with J2, J3 and J6: Work closely with SOCPAC J2, J3 and J6 stakeholders to understand actual data usage patterns, operational requirements, and decision-maker needs. Coordinate across multiple operational teams to identify what data is being used effectively, what is not, and why. Represent data operations in planning meetings and synchronization forums.
  • Requirements Translation: Translate operational requirements and feedback into practical technical priorities for the engineering team. Serve as the voice that bridges operational employment and platform capability development.
  • Continuous Experimentation & Validation: Maintain an ongoing cadence of small-scale proof-of-concept tests, use-case validations, and operational experiments with both J2 and DICE operational teams. Document and share results to validate data value, inform employment strategy, and support rapid iteration on operational concepts.
2.4 Strategic Coordination & Compliance
  • DICE Operations Coordination: Coordinate with DICE stakeholders to ensure data flows supporting joint operations are validated, reliable, and meet operational timelines and classification requirements. Support INDOPACOM Mission Network integration as applicable.
  • Policy & Regulatory Compliance: Ensure all data ingestion, storage, and dissemination practices comply with applicable DoD directives (e.g., DoDI 5040.02, DoDI 5200.01), data governance policy, and classification/releasability guidance. Maintain documentation supporting audit and compliance reviews.
  • Stakeholder Collaboration: Act as a technical liaison to internal users (VIT engineering, operations teams) and external entities (SOCPAC J2, DICE, coalition partners, data providers) to coordinate data integration and troubleshoot operational issues. Participate in daily/weekly synchronization meetings and operational planning teams.
Experience & Knowledge Requirements
  • Minimum of three (3+) years' experience, within the last 10+ years, in military operations or intelligence environment, with demonstrated experience in Special Operations Forces (SOF) or joint operations. Direct experience in data operations, logistics, or communications is valued but not required; proven adaptability and ability to learn in fast-paced operational environments is key.
  • Data and systems literacy: Demonstrated understanding of data concepts (ingest, schema, normalization, tagging, lineage, quality assessment). Familiarity with query languages (SQL or equivalent), structured data at scale, and data flow architecture.
  • Network and system flow understanding: Comfortable tracing data across networks, systems, and classification levels. Ability to diagnose integration issues and communicate technical problems to both operational and engineering audiences.
  • Testing and validation mindset: Experience designing and running practical tests, validating assumptions, documenting results, and presenting findings to stakeholders.
  • SOCPAC / PACOM and/or DICE operations background: Comfortable tracing data across networks, systems, and classification levels. Ability to diagnose integration issues and communicate technical problems to both operational and engineering audiences.
Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
Job Requirements
On-Site
By using best practices and optimal employee recruiting strategies, Kavaliro provides employers with employment solutions by providing the most qualified and professional employees, who can staff both project and permanent positions in order to ensure the ongoing success of all types of businesses. We use a streamlined-yet-thorough approach to staffing that saves our clients administrative time, resources and money.

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