Hybrid Data Engineer I: DataOps for AI-Driven Analytics

Servco Pacific Inc.; Honolulu (HI); Hybrid; USD 72,000 - 96,000; Full time

Job summary

Servco Pacific Inc. is seeking a junior Data Engineer I to help build and maintain data pipelines, ensuring data quality across our analytics and AI initiatives on Oahu. The role combines on-site work with remote days, in a cloud-first, code-first, agile environment.

The ideal candidate will grow under mentorship, expand foundational DataOps knowledge, and contribute to a reliable core data infrastructure that supports business decisions.

Qualifications

• Bachelor's in Computer Science, Information, Data Science, Business Analytics or Information Management preferred; equivalent education and experience may be considered.
• 1–2 years in an individual contributor role with exposure to data pipelines, SQL, Python, and cloud tooling.
• Foundational knowledge of data governance, security, and cloud data architectures.

Responsibilities

• Contribute to designing, developing, and maintaining data pipelines from source systems to storage and processing environments.
• Assist with data structures supporting reporting, analytics, warehousing, and cloud storage needs.
• Support reliable data integration across systems and applications with guided milestones.
• Monitor data pipeline performance and help deploy, document, and maintain data infrastructure.
• Collaborate with analytics engineers to ensure data quality and downstream data availability.

Skills

Problem solving

Curiosity

Team collaboration

Communication

Education

Bachelor's in CS/Info/Data/Analytics or related field

Tools

Databricks

SQL

Python

dbt

Azure

Terraform

Job description

Servco Pacific Inc. is seeking a junior Data Engineer I to help build and maintain data pipelines, ensuring data quality across our analytics and AI initiatives on Oahu. The role combines on-site work with remote days, in a cloud-first, code-first, agile environment.

The ideal candidate will grow under mentorship, expand foundational DataOps knowledge, and contribute to a reliable core data infrastructure that supports business decisions.