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Analytics Engineer Jobs in Hawaii (NOW HIRING)

Servco

Data Engineer II

Honolulu, HI · On-site

$110K - $132K/yr

Data Engineers will partner closely with Analytics Engineers, who focus on downstream activities that turn prepared data into actionable insights. This role is responsible for sourcing, preparing ...

Servco

Data Engineer II

Honolulu, HI · On-site

$113K - $135K/yr

Data Engineers will partner closely with Analytics Engineers, who focus on downstream activities that turn prepared data into actionable insights. This role is responsible for sourcing, preparing ...

Deloitte

Manager, SRE Engineer - PxE ERM

Honolulu, HI · On-site

$56.25 - $74.75/hr

Responsible for requirement analysis, automation, integration, monitoring, and ongoing support. * Engineering Craftsmanship: Hands-on contributor who maintains system integrity, solves complex ...

Deloitte

ServiceNow SRE Engineering Manager

Honolulu, HI

$56.25 - $74.75/hr

Responsible for requirement analysis, automation, integration, monitoring, and ongoing support. * Engineering Craftsmanship: Hands-on contributor who maintains system integrity, solves complex ...

US Department of the Navy

$52K/yr

... analyzing, interpreting, and conveying findings. FOR THE GS-11: Your resume must demonstrate one ... Engineering. To be acceptable, the program must: (1) lead to a bachelor's degree in a school of ...

U.S. Department of Defense (DOD)

$52K/yr

... analyzing, interpreting, and conveying findings. FOR THE GS-11: Your resume must demonstrate one ... Engineering. To be acceptable, the program must: (1) lead to a bachelor's degree in a school of ...

MNCP Staffing

Geotechnical Engineer

Honolulu, HI · On-site

Engineering Analysis & Design Develop geotechnical recommendations and design solutions for ... foundations, retaining structures, slope stability, and earthwork construction. Technical Reporting ...

Cymertek

SIGINT Systems Developer

Honolulu, HI · On-site

... Engineer, Signal Analysis Engineer, Systems Integration Engineer, Intelligence Solutions Architect, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Electrical Engineering, Computer ...

SOSi

Senior Cyber Defense Analyst

Camp H M Smith, HI · On-site

$97K - $125K/yr

You'll be the connective force between detection engineering, cyber innovation teams, and mission ... analytics platforms. * Experience building, maturing, or refining SOC workflows, CONOPS, SOPs ...

Cymertek

SIGINT Systems Developer

Honolulu, HI

... Signal Analysis Engineer, Systems Integration Engineer, Intelligence Solutions Architect, etc. DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Electrical Engineering, Computer Science ...

Atreides

HI · Hybrid

$122K - $147K/yr

Data Engineer Company Overview: Atreides helps organizations transform large and complex multi ... You may also have a strong background in both data analytics and all-source intelligence analysis.

Knife River Corporation

ENGINEER

Aiea, HI · On-site

Demonstrate knowledge of surveying procedures, drilling techniques, mapping, drafting, aggregate exploration, and reserve analysis. * Work with engineering software to develop and prepare preliminary ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Hawaii

Analytics Engineer information

See Hawaii salary details

$66.2K

$115.6K

$188.5K

How much do analytics engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for analytics engineer in Hawaii is $115,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,309.00 and $129,729.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

What is the average salary of an analytics engineer?

The average salary of an analytics engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Python, and data visualization tools tend to earn higher salaries, especially in larger organizations or tech hubs.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is big data salary?

The salary for an Analytics Engineer working with big data typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals skilled in tools like Hadoop, Spark, and SQL tend to earn higher salaries, especially with certifications and advanced technical expertise.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are popular job titles related to Analytics Engineer jobs in Hawaii? For Analytics Engineer jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Hawaii look for? The top searched job categories for Analytics Engineer jobs in Hawaii are:
Analytics Engineer jobs near you
Data Engineer II

Data Engineer II

Servco

Honolulu, HI • On-site

$110K - $132K/yr

Full-time

Posted 5 days ago

Job description

Servco's Data Engineers play a crucial role in ensuring the organization has the data it needs to make informed business decisions. This includes acquiring data from a variety of sources-internal systems as well as external APIs-and transforming, modeling, and curating it so it's reliable and usable for downstream analytics and reporting.
This role requires a strong understanding of DataOps practices and the ability to operate in a cloud-first, code-first, agile environment. Data Engineers in this role are expected to work with technologies such as Databricks for data warehousing, data modeling, and orchestration, as well as Cloud Functions for serverless computing and automation. Data Engineers should be skilled coders with high proficiency in Python and SQL, capable of writing clean, efficient, well-documented code and troubleshooting issues across pipelines and platforms.
Data Engineers will partner closely with Analytics Engineers, who focus on downstream activities that turn prepared data into actionable insights. This role is responsible for sourcing, preparing, and serving data in a way that enables those analytics workflows to operate confidently and at scale.
This position is primarily on-site in Honolulu and is not a remote role. It allows up to one day per week working from home.
QUALIFICATIONS:
  • Bachelors in Computer Science, Information, Data Science, Business Analytics or Information Management (not required but preferred)
  • 4-7 years of experience in the following areas, all in an individual contributor capacity:
  • Process Mining & Stakeholder Collaboration
    • Experience with process mining and collaborating with stakeholders to understand their needs and identify opportunities for process improvement.
  • Programming & Software Development Practices
    • Experience with Python programming, including libraries such as NumPy, Pandas, and Selenium, as well as testing and debugging using tools such as PyTest.
    • Experience with SQL programming, writing efficient queries and stored procedures.
    • Experience with version control systems such as Git (including merging and resolving conflicts) and containers such as Docker.
  • Data Engineering (Integration, Modeling & Warehousing)
    • Experience working with database integrations and designing systems that integrate data from multiple sources.
    • Experience designing and implementing logical and physical data models and applying data warehousing best practices such as dimensional modeling, star and snowflake schemas.
    • Experience creating and maintaining dbt documentation using Jinja templates.
    • Experience with day-to-day database administration, including backup and recovery, performance tuning, and security management.
  • Cloud, Infrastructure & Architecture
    • Experience working with cloud-based services, specifically Azure and Databricks.
    • Experience using Infrastructure as Code (IaC) tools such as Terraform.
    • Experience managing and maintaining analytics infrastructure, including data pipelines and storage systems, and supporting incident response procedures.
    • Experience designing and implementing systems using a microservices architecture.
  • Governance & Security
    • Experience implementing policies and procedures to ensure the availability, usability, integrity, and security of data throughout its lifecycle, including data lineage, data quality, data privacy, and compliance requirements.
  • Technical Documentation
    • Experience creating and maintaining technical documentation such as project plans, requirements, design documents, and test plans.

Skills:
  • Process Mining
    • Ability to understand and document business processes, including identifying process inputs, outputs, and key stakeholders.
  • Programming (Python & SQL)
    • Ability to work with and integrate APIs and other external systems.
    • Ability to write efficient and optimized SQL queries and stored procedures.
  • Data Engineering (Orchestration, Modeling & Warehousing)
    • Experience designing and implementing scalable, reliable, and maintainable data pipelines.
    • Ability to identify and resolve data migration and integration issues, including data loss, corruption, and duplication.
    • Proficient in analyzing business requirements to determine database design and implement effective data models and transformations.
    • Ability to abstract data from its physical location and structure, allowing users to access and use the data without knowing where it resides or how it is stored.
    • Ability to design and implement efficient, scalable database schemas.
    • Ability to replicate data to multiple servers for disaster recovery, reporting, or data warehousing purposes.
  • Cloud & Software Development Practices
    • Proficient with CI/CD pipelines and tools.
    • Strong understanding of software design patterns and best practices for code organization, testing, and maintenance.
    • Knowledge of serverless architecture and ability to build scalable and fault-tolerant systems using cloud-native technologies.
    • Knowledge of cloud-native design principles, including auto-scaling, load balancing, and managed services.
  • Governance & Security
    • Knowledge of data security best practices and ability to implement them in a cloud-based environment.
  • Infrastructure & Operations
    • Knowledge of cloud cost optimization techniques and ability to implement them to reduce cost.
  • Technical Communication
    • Strong verbal and written communication skills, and the ability to effectively communicate project status, issues, and risks to stakeholders.

Licenses and Certifications:
  • Databricks Data Engineer Associate Certification preferred, but not required
  • Databricks Data Engineer Professional Certification preferred, but not required

At Servco, we're committed to providing valuable mobility solutions to empower people through the freedom of movement and opportunity. From Australia to California, and of course, Hawaii, Team Servco is a collective of over 2,000 like-minded individuals guided by our four Core Values of Respect, Service, Teamwork, and Innovation. For over 100 years, we have been dedicated to superior service, to both our customers and team members. We look forward to helping you create Life: Moments that matter to you.
Interested?
Visit www.servco.com/careers to apply online.
Equal Opportunity Employer and Drug-Free Workplace
Pay Range: $82,700.00 - $125,740.00 per year

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