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Data Warehouse Jobs in Hawaii (NOW HIRING)

Data Warehouse Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a detail-oriented and ...

Data Modeler

Honolulu, HI · On-site

$54 - $70.25/hr

... data warehousing concepts • Ability to work with large and complex datasets Qualifications : Required : • Bachelor's Degree • Strong understanding of data modeling concepts • Ability to ...

Data Modeler

Honolulu, HI · On-site

$90 - $120/hr

Knowledge of data warehousing concepts * Ability to work with large and complex datasets REQUIRED SKILLS * Proficiency in data modeling tools (e.g., Erwin, IBM InfoSphere) * Strong SQL skills and ...

Data Modeler

Honolulu, HI · On-site

$54 - $70.25/hr

Knowledge of data warehousing concepts * Ability to work with large and complex datasets REQUIRED SKILLS * Proficiency in data modeling tools (e.g., Erwin, IBM InfoSphere) * Strong SQL skills and ...

Uncrate/Pallet items * Assist Receiving/data entry * Other Warehouse task/Able to lift or move 50lbs. Essential Functions : Must have drivers license, acceptable driving record and reliable vehicle ...

Today, Odyssey supports more than 6,000 customers globally, delivering scalable, data-driven ... Warehouse Supervisor or Warehouse Manager Summary / Primary Role The Warehouse Operator I is ...

Today, Odyssey supports more than 6,000 customers globally, delivering scalable, data-driven ... Warehouse Supervisor or Warehouse Manager Summary / Primary Role The Warehouse Operator I is ...

Warehouse Associate

Pearl City, HI · On-site

$21 - $25/hr

Today, Odyssey supports more than 6,000 customers globally, delivering scalable, data-driven ... Warehouse Supervisor or Warehouse Manager Summary / Primary Role The Warehouse Operator I is ...

Maintain working knowledge of the warehouse data system and perform various tasks within the system * When requested, deliver supplies and equipment in a timely fashion while observing all Regulated ...

Senior Technical Data Analyst II

Honolulu, HI · On-site

$85K - $107K/yr

Advanced knowledge and skill proficiency in data management and data warehousing. * Intermediate knowledge and skill proficiency in business acumen, critical thinking, cross-functional collaboration ...

Maintain working knowledge of the warehouse data system and perform various tasks within the system * When requested, deliver supplies and equipment in a timely fashion while observing all Regulated ...

Maintain working knowledge of the warehouse data system and perform various tasks within the system * When requested, deliver supplies and equipment in a timely fashion while observing all Regulated ...

Maintain working knowledge of the warehouse data system and perform various tasks within the system * When requested, deliver supplies and equipment in a timely fashion while observing all Regulated ...

Maintain working knowledge of the warehouse data system and perform various tasks within the system * When requested, deliver supplies and equipment in a timely fashion while observing all Regulated ...

Maintain working knowledge of the warehouse data system and perform various tasks within the system * When requested, deliver supplies and equipment in a timely fashion while observing all Regulated ...

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Data Warehouse information

See Hawaii salary details

$26K

$130.8K

$177.7K

How much do data warehouse jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data warehouse in Hawaii is $130,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $166,200.00 per year, depending on experience, location, and employer.

What is a data warehouse?

A data warehouse is a centralized repository designed to store, manage, and analyze large volumes of structured data from multiple sources. It enables organizations to consolidate data, making it easier to generate reports, perform analytics, and make data-driven decisions. Data warehouses are optimized for read-heavy operations and complex queries, supporting business intelligence and long-term historical analysis. They differ from traditional databases by focusing on analytical processing rather than day-to-day transaction processing.

What are the qualifications to get a data warehouse job?

The qualifications to get a data warehouse job differ by position and level of responsibility. To be a data entry worker or data clerk, you typically need a high school diploma and some technical competency, such as familiarity with spreadsheets or other simple data entry systems. To be a data warehouse architect or developer, you typically need a bachelor’s degree in information technology or computer science, and strong technical skills, including data analysis and programming in SQL and other database and server languages. Familiarity with proprietary software and hardware from companies such as Oracle is also important.

What are the key skills and qualifications needed to thrive as a data warehouse professional, and why are they important?

To excel as a Data Warehouse professional, you need a solid grasp of database design, ETL (extract, transform, load) processes, SQL, and data modeling, often supported by a degree in computer science or a related field. Familiarity with data warehouse tools such as Microsoft SQL Server, Oracle, Informatica, and cloud platforms like AWS Redshift or Google BigQuery is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret business requirements and collaborate with stakeholders. These competencies ensure accurate, scalable data solutions that drive informed business decisions.

What are the common challenges faced by professionals working in data warehouse roles, and how can they be addressed?

Professionals in Data Warehouse roles often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and optimizing query performance. Addressing these issues typically involves close collaboration with data engineers, database administrators, and business analysts to establish clear data governance standards and implement robust ETL (Extract, Transform, Load) processes. Staying up to date with the latest data warehousing technologies and regularly monitoring system performance also help in overcoming these challenges, resulting in more reliable and efficient data storage and retrieval.

What is the difference between Data Warehouse vs Data Analyst?

AspectData WarehouseData Analyst
Primary RoleStores and manages large volumes of data for analysisAnalyzes data to generate insights and reports
Required SkillsDatabase management, ETL processes, SQL, data modelingData analysis, visualization, SQL, Excel
Work EnvironmentData centers, cloud platforms, IT teamsBusiness units, analytics teams, reporting tools
Common CertificationsCertified Data Management Professional (CDMP), Microsoft Certified: Data Analyst AssociateMicrosoft Certified: Data Analyst Associate, Google Data Analytics Certificate

While a Data Warehouse focuses on storing and organizing data for analysis, a Data Analyst interprets that data to provide actionable insights. Both roles often collaborate but serve different functions within data management and analysis workflows.

Is data warehouse a good career?

A career as a data warehouse professional involves designing, developing, and maintaining data storage systems that support business intelligence and analytics. It requires skills in SQL, ETL processes, and familiarity with tools like Snowflake or Redshift. The role offers strong job growth, competitive salaries, and opportunities across various industries.

What does a data warehouse do?

A data warehouse is a system used by data warehouse professionals to store, organize, and analyze large volumes of structured data from multiple sources. It enables efficient querying and reporting, supporting business intelligence and decision-making processes. Data warehouse roles often require knowledge of database tools, ETL processes, and data modeling.

What skills are needed for data warehousing?

Data warehouse professionals need strong skills in SQL, data modeling, and ETL (Extract, Transform, Load) processes. Knowledge of database management systems, data integration tools, and familiarity with cloud platforms like AWS or Azure are also important. Additionally, analytical thinking and problem-solving skills are essential for designing efficient data solutions.
Infographic showing various Data Warehouse job openings in Hawaii as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,756 per year, or $62.9 per hour.

Data Warehouse Engineer

Cymertek Corporation

Honolulu, HI • On-site

Full-time

Re-posted 2 days ago


Job description

Job Summary:
Cymertek Corporation is seeking a detail-oriented and innovative Data Warehouse Engineer to join their team. The role involves designing, building, and maintaining high-performance data warehousing solutions, collaborating with cross-functional teams to optimize large-scale data environments for analytics and reporting.
Responsibilities:
• Experience with data warehouse architecture
• Proficiency in ETL tools and processes
• Ability to design and implement data models
• Expertise in data integration and transformation
• Strong knowledge of database management systems
• Understanding of data governance and compliance
Qualifications:
Required:
• Bachelor's Degree
• Experience with data warehouse architecture
• Proficiency in ETL tools and processes
• Ability to design and implement data models
• Expertise in data integration and transformation
• Strong knowledge of database management systems
• Understanding of data governance and compliance
• Proficiency in SQL and relational databases
• Familiarity with cloud-based data warehouses
• Expertise in data quality management
• Experience with data pipeline orchestration
• Strong understanding of data warehousing concepts
• Skill in performance tuning of data systems
Preferred:
• Knowledge of NoSQL databases
• Experience with real-time data processing
• Familiarity with business intelligence tools
• Understanding of data security protocols
• Experience in handling unstructured data
• Familiarity with machine learning integration
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.