Data Engineer I

Servco Pacific Inc. is seeking a Data Engineer I (individual contributor) in Honolulu, HI, onsite. This role focuses on building and supporting defined data ingestion and transformation pipelines that enable reporting, operations, and AI-ready data use cases, working with internal systems and external APIs.

Key Responsibilities

• Build, test, document, and maintain defined ingestion and transformation pipelines with guidance and review.
• Support development work related to models, mappings, integration checks, lineage, and data quality for reporting and AI-ready datasets.
• Assist with deployment, monitoring, and troubleshooting of pipelines; escalate complex incidents and provide help during critical operations as needed.
• Collaborate with Analytics Engineers and senior Data Engineers to make governed data available and understandable for reporting and AI use cases, following approved solution designs.
• Investigate data quality exceptions, capture root causes and fixes, and keep source mappings and operating notes current under senior guidance.
• Help maintain metadata, definitions, access requests, and lineage so downstream users can locate and trust approved data.
• Learn Servco business systems along with Databricks, Azure, Python, SQL, Git workflows, testing, and documentation through coached delivery.
• Follow governance and secure data handling standards while expanding ownership and incorporating feedback.
• Listen to operators and learn how customer, sales, service, and finance data supports day-to-day decisions; apply feedback to improve assigned data work.

Required Qualifications

• Relevant degree or equivalent experience; Databricks coursework or certification; practical SQL/Python projects, or analytics team experience (preferred).
• Foundational SQL and Python knowledge with 1 to 2 years of relevant experience, projects, internships, or equivalent demonstrated skills.
• Familiarity with data integration, basic modeling, APIs, Git, and collaborative problem solving.
• Exposure to Databricks, Azure, automated testing, CI/CD, and infrastructure as code is helpful; advanced proficiency is not expected at entry.
• Willingness to develop knowledge in recovery, performance, scalable architecture, privacy, and cost optimization through guided work.
• Strong attention to quality, documentation, secure handling, and learning through review.

Technology Stack

• Databricks
• Azure
• Python
• SQL
• Git
• APIs
• CI/CD
• Infrastructure as code

Location and Compensation

Location: Honolulu, HI (onsite)

Compensation: USD 72,900 to 110,820 per year

Experience Level: 1+ years