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 supporting Hawaii Mobility.
Responsibilities
- Own the design, implementation, and maintenance of governed, reliable pipelines and data products across internal systems and external APIs for analytics, applications, and AI
- Convert business needs into solution options, including technical estimates, dependencies, risks, and delivery plans with the manager and Analytics Engineers
- Lead assigned technical initiatives end to end: implementation, documentation, review, release, and production support
- Build automated data quality tests, reconciliation, lineage, and validation to provide dependable source data and feedback for AI evaluation and monitoring
- Troubleshoot and improve performance, scalability, cost, and cross-platform reliability; 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 handle assigned on-call responsibilities: restore affected pipelines and communicate follow-up actions
- Support engineering growth 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 using 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 owned data products
Requirements
- Degree in a related field 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
- Experience with Git, automated testing, CI/CD, and infrastructure as code in production environments
- Experience with dbt, containers, APIs, event integration, and cloud-native architecture (preferred)
- Experience in 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)
Technologies
- Python
- SQL
- Azure
- Databricks
- Git
- CI/CD
- Infrastructure as code
- dbt
- Containers
- APIs
- Event integration
- Cloud-native architecture
Location: Honolulu, HI (onsite)
Salary: USD 93,900 - 142,700 per year