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Data Governance Engineer Jobs in Hawaii (NOW HIRING)

Data Engineer Mid

Joint Base Pearl Habor Hickam, HI · On-site

$118K - $141K/yr

Implement data governance practices and quality assurance processes to ensure compliance with IC ... Proficiency in programming languages essential for data engineering, particularly Python (or R)

Data Engineer

Honolulu, HI · On-site

$75K - $113K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our ... Implement and enforce data governance policies and procedures, ensuring compliance with regulatory ...

Data Engineer

Honolulu, HI · On-site

$113K - $136K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our ... Implement and enforce data governance policies and procedures, ensuring compliance with regulatory ...

Data Engineer

Honolulu, HI · On-site

$75K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our ... Implement and enforce data governance policies and procedures, ensuring compliance with regulatory ...

Data Modeler

Honolulu, HI · On-site

$54 - $70.25/hr

SIMILAR CAREER TITLES Data Architect, Database Designer, Data Analyst, Business Intelligence Developer, Data Engineer, Data Scientist, ETL Developer, Information Architect, Data Governance Specialist ...

Data Warehouse Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this ... Understanding of data governance and compliance REQUIRED SKILLS * Proficiency in SQL and relational ...

Big Data Engineer

Honolulu, HI · On-site

$55 - $73/hr

Familiarity with data governance practices * Ability to ensure data pipeline reliability REQUIRED SKILLS * Proficiency in programming (e.g., Java, Python) * Expertise in data processing frameworks (e ...

Data Conditioning Systems Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Data Conditioning Systems Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please ... Knowledge of data governance best practices * Familiarity with real-time data processing systems

Data Engineer with Security Clearance

Honolulu, HI · On-site

$113K - $135K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our ... Implement and enforce data governance policies and procedures, ensuring compliance with regulatory ...

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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:

Director, IT AI/Automation and Data Governance

Hawaii Medical Service Association

Honolulu, HI • On-site

Full-time

Posted 14 days ago


Job description

  1. Lead and manage AI/Automation development, machine learning, data engineering, and automation delivery teams.
    • Set strategic direction, delivery priorities, architecture guardrails, and development standards for AI and automation initiatives.
    • Oversee solution planning, resource allocation, delivery execution, and operational readiness for AI and automation products and services.
    • Ensure development teams follow approved governance, security, testing, documentation, and release management practices.
    • Coach and develop managers, engineers, data scientists, and technical leads to build a high-performing, accountable, and innovative organization.
    • Drive collaboration across product, infrastructure, security, analytics, and business teams to accelerate value delivery and adoption.
    • Manage vendor and partner relationships supporting AI, data, and automation capabilities.
    • Support budget planning, investment prioritization, and workforce planning for governance and delivery functions.
  2. Develop and lead the enterprise framework for AI/Automation governance, data governance, and responsible automation practices.
    • Establish policies, standards, and controls for data quality, metadata, lineage, model governance, risk management, security, privacy, and compliance.
    • Define governance processes across the AI and data lifecycle, including intake, approval, development, testing, deployment, monitoring, and retirement.
  3. Partner with business, legal, compliance, security, privacy, and technology leaders to align governance with organizational risk appetite and strategic priorities.
  4. Oversee governance for AI/Automation use cases, models, and automation solutions to ensure transparency, accountability, explainability, and auditability where appropriate.
  5. Lead governance forums, review boards, and decision-making processes for AI, data, and automation initiatives.
  6. Develop metrics, dashboards, and reporting to measure governance maturity, control effectiveness, adoption, and business value.
  7. Monitor evolving regulatory, ethical, and industry requirements related to AI, data, and automation and translate them into actionable enterprise policies.
  8. Performs all other miscellaneous responsibilities and duties as assigned or directed.

#LI-Hybrid
  1. Bachelor's degree in Information Technology, Computer Science, Data Science, Engineering, or equivalent combination of education and experience.
  2. Ten years of progressive leadership experience in IT, data, analytics, AI/Automation, or digital technology functions.
  3. Experience establishing or leading data governance, AI/Automation governance, model risk management, or technology governance programs.
  4. Experience leading software development, AI/ML, data engineering, or automation teams in an enterprise environment.
  5. Strong knowledge of data management practices including data quality, metadata, lineage, stewardship, master data, and information lifecycle controls.
  6. Strong understanding of AI and automation concepts, including model lifecycle management, responsible AI principles, process automation, and operational controls.
  7. Demonstrated ability to translate technical, regulatory, and risk requirements into practical operating models, standards, and execution plans.
  8. Experience working across legal, compliance, audit, security, privacy, and business functions in highly regulated or risk-sensitive environments.
  9. Strong communication, executive presentation, stakeholder management, and organizational leadership skills.
  10. Intermediate knowledge of Microsoft Office applications, including but not limited to, Word, Excel, PowerPoint, and Outlook.