Data Engineer III
Azure
Big Data
Bigdata
CI/CD
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Engineer
Cloud Infrastructure
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Lakehouse
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Science Ops
Data Transforms
Data Warehouse
Database
Databases
Databricks
DevOps
Devops Tools
DevSecOps
ETL
Facilities Management
Informatica
Information Technology (IT)
Infrastructure As Code
Project Management
Security Devops
Software Development
SQL
Job Description
Servco Pacific Inc. is hiring a Data Engineer III for an onsite role in Honolulu, HI. This position leads complex data engineering work for Hawaii Mobility, focusing on governed pipelines and data products that support analytics, applications, and AI-ready use cases.
Responsibilities
- Lead the design, implementation, and ongoing 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, including technical estimates, dependencies, risks, and delivery plans, in collaboration with the manager and Analytics Engineers.
- Drive assigned technical initiatives through implementation, documentation, review, release, and production support.
- Design automated data quality testing, reconciliation, lineage, and validation to ensure dependable source data, including feedback loops for AI evaluation and monitoring.
- Troubleshoot performance, scalability, cost, and cross-platform issues; optimize processing and storage.
- Advance cloud data infrastructure using automation and infrastructure as code, aligned to approved architecture and security standards.
- Monitor data operations and provide response coverage during assigned on-call shifts, including restoring affected pipelines and communicating follow-up actions.
- Mentor engineers through pairing, code review, technical guidance, and knowledge sharing.
- Collaborate with Analytics Engineers, the Data & AI Architect, and the AI Platform engineer to deliver trusted reporting and AI-ready data products, implementing approved architecture patterns.
- Support data governance and stewardship through documentation and secure operating practices.
- Improve owned data products using operational feedback and evidence related to adoption, reliability, cost, and customer impact.
Requirements
- Degree in a related field is preferred, or equivalent experience.
- 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.
- Production experience with Git, automated testing, CI/CD, and infrastructure as code.
- Experience with dbt, containers, APIs, event integration, and cloud-native architecture (preferred).
- Experience with mobility, distribution, retail, or other vertically integrated operations (preferred).
- Ability to lead technical assignments, communicate tradeoffs, mentor peers, and resolve production incidents.
- Working knowledge of data governance, quality, lineage, privacy, and secure access.
- Relevant Databricks certification or equivalent demonstrated capability (preferred).
Key Technologies
Python, SQL, Azure, Databricks, Git, CI/CD, infrastructure as code, dbt, containers, APIs, event integration, cloud-native architecture.
Location and Compensation
Location: Honolulu, HI (onsite)
Salary: USD 93,900 - 142,700 per year
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