Data Engineer I

Servco Pacific Inc. is hiring a Data Engineer I (individual contributor) in Honolulu, HI (onsite). In this role, you will help power Hawaii Mobility by building and supporting defined data ingestion and transformation pipelines. You’ll work with internal systems and external APIs to transform, model, test, and document data for reporting, operations, and AI-ready use cases. You will be coached as you expand ownership across governance, data quality, and platform practices using Databricks, Azure, Python, and SQL.

What you’ll be doing

• Build, test, document, and maintain defined ingestion and transformation pipelines with guidance and review.
• Support models and mappings by assisting with integration checks, lineage, and data quality needs for reporting and AI-ready datasets.
• Help with deployment activities, monitoring, and troubleshooting; escalate complex incidents and contribute to critical operations as needed.
• Partner with Analytics Engineers and senior Data Engineers to deliver governed, understandable data 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.
• Contribute to metadata, definitions, access request support, and lineage so downstream users can find and trust approved data.
• Learn Servco business systems and engineering workflows through coached delivery, including Databricks, Azure, Python, SQL, Git, automated testing, and documentation.
• Follow governance and secure data handling standards while gradually expanding ownership through feedback and review.
• Listen to operators and apply learnings about how customer, sales, service, and finance data support day-to-day decisions, improving the assigned data work over time.

What you bring

• A relevant degree or equivalent experience. Databricks coursework or certification, practical SQL/Python projects, or analytics team experience are preferred.
• Foundational SQL and Python knowledge with 1-2 years of relevant experience, projects, internships, or equivalent demonstrated skills.
• Familiarity with data integration, basic modeling, APIs, Git workflows, and collaborative problem solving.
• Helpful exposure to Databricks, Azure, automated testing, CI/CD, and infrastructure as code. Advanced proficiency is not required at entry.
• Willingness to develop knowledge of recovery, performance, scalable architecture, privacy, and cost optimization through guided work.
• Careful attention to quality, documentation, secure handling, and learning through review.

Tools you’ll use

Databricks, Azure, Python, SQL, Git, APIs, CI/CD, infrastructure as code

Compensation: USD 72,900 - 110,820 per year.