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Manager Data Analytics Engineer Jobs in Hawaii (NOW HIRING)

Collaborate with intelligence analysts, data engineers, and computer scientists to improve data workflows and develop new analytical capabilities. * Develop algorithms, scripts, and tools to automate ...

Analytic Cloud Developer

Honolulu, HI · On-site

$110 - $170/hr

... Data Engineer, Cloud Architect, Analytics Developer, Cloud Software Engineer, Cloud Data Scientist ... Ability to manage cloud storage DESIRED SKILLS * Familiarity with containerization * Knowledge of ...

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... You'll use your expertise in analytical exploration and data examination while you oversee the ...

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... You'll use your expertise in analytical exploration and data examination while you oversee the ...

Data Engineer

Honolulu, HI

$113K - $135K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... You'll use your expertise in analytical exploration and data examination while you oversee the ...

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... You'll use your expertise in analytical exploration and data examination while you oversee the ...

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... You'll use your expertise in analytical exploration and data examination while you oversee the ...

Data Engineer

Honolulu, HI · On-site

$113K - $136K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... You'll use your expertise in analytical exploration and data examination while you oversee the ...

Data Engineer

Honolulu, HI · On-site +1

$61K - $141K/yr

Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration ...

Data Engineer

Honolulu, HI · On-site

$61K - $141K/yr

Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration ...

Data Engineer

Honolulu, HI · On-site

$61K - $141K/yr

Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration ...

Data Engineer

Honolulu, HI · On-site

$61K - $141K/yr

Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration ...

Analytic Cloud Developer

Honolulu, HI · On-site

$55.50 - $76/hr

... Data Engineer, Cloud Architect, Analytics Developer, Cloud Software Engineer, Cloud Data Scientist ... Ability to manage cloud storage DESIRED SKILLS * Familiarity with containerization * Knowledge of ...

Showing results 41-60

Manager Data Analytics Engineer information

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are popular job titles related to Manager Data Analytics Engineer jobs in Hawaii?

For Manager Data Analytics Engineer jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Hawaii look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Hawaii are:

What cities in Hawaii are hiring for Manager Data Analytics Engineer jobs?

Cities in Hawaii with the most Manager Data Analytics Engineer job openings:

Infographic showing various Manager Data Analytics Engineer job openings in Hawaii as of July 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Data Scientist - Mid-Level

Bluehawk, LLC

Pearl City, HI • On-site

$80 - $120/hr

Other

Posted 16 days ago


Job description

Overview

The Data Scientist enables advanced analytics and data-driven decision-making across the Joint Intelligence Operations Center (JIOC). This role applies scientific, statistical, and computational techniques to process, structure, and analyze large volumes of multi-source intelligence data. The Data Scientist builds and deploys AI/ML models, advanced automation solutions, and predictive analytics capabilities that enhance intelligence processes, strengthen situational awareness, and directly support operational planning and critical warfighting functions.

This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.

Responsibilities
  • Perform complex statistical analysis, modeling, and data mining to extract actionable insights from diverse intelligence datasets.
  • Design, develop, and implement advanced data visualizations to support all aspects of JIOC intelligence operations.
  • Build and validate statistical and predictive models to identify trends, patterns, and relationships across multi-INT sources.
  • Develop and contribute to AI/ML algorithms, automation workflows, and intelligent systems that enhance mission effectiveness.
  • Conduct exploratory data analysis across internal and external datasets to support analytic findings and operational planning.
  • Create automated processes for data ingestion, conditioning, and integration to streamline intelligence production.
  • Collaborate with intelligence analysts, data engineers, and computer scientists to improve data workflows and develop new analytical capabilities.
  • Develop algorithms, scripts, and tools to automate manual processes and enhance analytic efficiency.
  • Improve data quality, searchability, metadata structures, and predictive capabilities across intelligence repositories.
  • Apply experimental design principles to test hypotheses and evaluate intelligence processes.
  • Recommend improvements to data architectures, workflows, and analytic capabilities across the enterprise.
  • Conduct system analyses to define technical requirements for new or enhanced intelligence databases and applications.
  • Identify data redundancies, gaps, and inefficiencies and develop solutions to optimize integration and accessibility.
  • Participate in intelligence planning conferences, capability development sessions, working groups, national-level coordination boards, and technical exchange meetings.
Qualifications

Education

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.

Required Skills

  • Proficiency in Python, R, SQL, or similar programming languages.
  • Experience with data visualization platforms such as Power BI or Tableau.
  • Strong understanding of statistical techniques and modeling approaches.
  • Foundational knowledge of AI/ML concepts and applications.
  • Experience working with relational and/or NoSQL databases.
  • Familiarity with cloud-based big data technologies.
  • Ability to explain complex technical findings to non-technical audiences.
  • Understanding of intelligence analysis processes and mission requirements.
  • Experience working with structured and unstructured datasets in complex environments.

Experience

  • Minimum of 3 to 5 years of experience in data science, analytics, machine learning, or related technical fields.
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