Data Engineer III

Servco Pacific Inc.•Honolulu, HI

8d•$93,900 - $142,700

About The Position

Servco is hiring a Data Engineer III to lead complex data engineering work for Hawaii Mobility. The role acquires data from internal systems and external APIs, builds and maintains reliable pipelines and data models, and makes trusted data available to analytics, applications, and AI. Reporting to the Manager, Data Engineering, within the Data Visualization, Analytics & Automation function led by its Director under the VP, Data & AI, this individual contributor leads technical assignments and mentors junior engineers. The role recommends engineering practices and coordinates delivery with Analytics Engineers, architects, and business partners.

Requirements

7+ years of data engineering experience with strong Python, SQL, integration, orchestration, and data modeling skills.
Hands-on Azure and Databricks experience, including cloud data pipelines, testing, monitoring, and performance tuning.
Experience with Git, automated testing, CI/CD, and infrastructure as code in a production environment.
Ability to lead technical assignments, communicate tradeoffs, mentor peers, and resolve production incidents.
Working knowledge of data governance, quality, lineage, privacy, and secure access.

Nice To Haves

Degree in a related field, or equivalent experience.
Experience with dbt, containers, APIs, event integration, and cloud-native architecture.
Experience in mobility, distribution, retail, or other vertically integrated operations.
Relevant Databricks certification or equivalent demonstrated capability.

Responsibilities

Lead design, implementation, and maintenance of reliable, governed pipelines and data products across internal systems and external APIs for analytics, applications, and AI.
Translate business requirements into solution options, technical estimates, dependencies, risks, and delivery plans with the manager and Analytics Engineers.
Lead assigned technical initiatives through implementation, documentation, review, release, and production support.
Design automated data quality tests, reconciliation, lineage, and validation; provide dependable source data and feedback for AI evaluation and monitoring.
Troubleshoot performance, scalability, cost, and cross-platform issues; optimize processing and storage.
Improve cloud data infrastructure with automation and infrastructure as code, following approved architecture and security standards.
Monitor data operations, respond during assigned on-call coverage, restore affected pipelines, and communicate follow-up actions.
Mentor engineers through pairing, code review, technical guidance, and knowledge sharing.
Partner with Analytics Engineers, the Data & AI Architect, and the AI Platform engineer on trusted reporting and AI-ready data products; implement approved architecture patterns.
Contribute to data governance, stewardship, documentation, and secure operating practices.
Use operational feedback and evidence of adoption, reliability, cost, and customer impact to improve the data products you own.