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Dbt Analytics Jobs in Hawaii (NOW HIRING)

Data Engineer II

Honolulu, HI · On-site

$110K - $132K/yr

Data Engineers will partner closely with Analytics Engineers, who focus on downstream activities ... Experience creating and maintaining dbt documentation using Jinja templates. * Experience with day ...

Data Engineer II

Honolulu, HI · On-site

$113K - $135K/yr

Data Engineers will partner closely with Analytics Engineers, who focus on downstream activities ... Experience creating and maintaining dbt documentation using Jinja templates. * Experience with day ...

Dbt Analytics information

See Hawaii salary details

$39K

$66.4K

$95.6K

How much do dbt analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for dbt analytics in Hawaii is $66,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,100.00 and $73,800.00 per year, depending on experience, location, and employer.

What is a dbt analytics?

A dbt Analytics job typically refers to a role focused on using dbt (data build tool) to transform, test, and document data within a data warehouse. Professionals in this field design and manage data models, write SQL-based transformations, and ensure data quality for analytics purposes. They collaborate with data engineers and analysts to build efficient, maintainable workflows that support business intelligence and data-driven decision-making. dbt Analytics jobs require strong SQL skills, familiarity with modern data stack tools, and an understanding of data modeling best practices.

What are the key skills and qualifications needed to thrive as a dbt analytics professional?

To thrive as a DBT Analytics professional, you need strong SQL skills, a solid understanding of data modeling, and experience with analytics engineering, typically backed by a degree in a quantitative field. Familiarity with the DBT (Data Build Tool) platform, cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with stakeholders and ensure data reliability. These skills and tools are crucial for transforming raw data into actionable insights and maintaining robust, scalable analytics infrastructure.

How does a dbt analytics professional typically collaborate with data engineers and analysts within a team?

Dbt Analytics professionals play a key role in bridging the work of data engineers and data analysts. They transform raw data into clean, well-documented, and analysis-ready datasets using dbt (data build tool), ensuring consistency and reliability. Collaboration often involves working closely with data engineers to understand data sources and pipelines, while also partnering with analysts to tailor data models to business needs. Effective communication and regular feedback loops are crucial, as dbt professionals often serve as the link between technical data infrastructure and business-facing analysis.

What is the difference between Dbt Analytics vs Data Analyst?

AspectDbt AnalyticsData Analyst
Required CredentialsSQL, data modeling, analytics certificationsStatistics, Excel, SQL, sometimes certifications
Work EnvironmentData teams, analytics platforms, cloud environmentsBusiness units, reporting tools, spreadsheets
Industry UsageData transformation, modeling, analytics pipelinesData interpretation, reporting, insights

While Dbt Analytics focuses on transforming and modeling data within analytics workflows, Data Analysts primarily interpret data and generate reports. Both roles require SQL skills and work closely with data teams, but Dbt Analytics emphasizes data transformation using tools like dbt, whereas Data Analysts focus on analyzing and communicating insights.

Is dbt in demand?

Dbt analytics engineers are increasingly in demand as organizations adopt modern data transformation tools to improve data workflows. Skills in SQL, data modeling, and familiarity with cloud platforms enhance job prospects in this field, which is growing alongside the broader data analytics industry.

What are popular job titles related to Dbt Analytics jobs in Hawaii?

For Dbt Analytics jobs in Hawaii, the most frequently searched job titles are:

What cities in Hawaii are hiring for Dbt Analytics jobs?

Cities in Hawaii with the most Dbt Analytics job openings:

Data Engineer II

Servco

Honolulu, HI • On-site

$110K - $132K/yr

Full-time

Re-posted 13 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