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 seeking a Data Engineer III to support Hawaii Mobility by leading complex data engineering work. In this role, you will design and maintain governed pipelines and data products so downstream analytics, applications, and AI can rely on dependable, AI-ready data.
This onsite position is based in Honolulu, HI. The salary range for the role is USD 93,900 - 142,700 per year, and the position requires 7+ years of relevant experience.
What you’ll do
- Lead the design, implementation, and maintenance of reliable, governed pipelines and data products across internal systems and external APIs for analytics, applications, and AI.
- Convert 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.
- Create automated data quality tests, reconciliation, lineage, and validation to ensure dependable source data, including feedback loops for AI evaluation and monitoring.
- Troubleshoot issues impacting performance, scalability, cost, and cross-platform behavior, optimizing processing and storage.
- Advance cloud data infrastructure using automation and infrastructure as code, aligned with approved architecture and security standards.
- Monitor data operations and participate in assigned on-call coverage, including restoring affected pipelines and communicating follow-up actions.
- Mentor engineers through pairing, code review, technical guidance, and knowledge sharing.
- Work with Analytics Engineers, the Data & AI Architect, and the AI Platform engineer to build trusted reporting and AI-ready data products, implementing approved architecture patterns.
- Contribute to data governance, stewardship, documentation, and secure operating practices.
- Use operational evidence of adoption, reliability, cost, and customer impact to improve the data products you own.
What you bring
- 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 experience with Azure and Databricks, including cloud data pipelines, testing, monitoring, and performance tuning.
- Experience using Git, automated testing, CI/CD, and infrastructure as code in a production environment.
- Experience with dbt, containers, APIs, event integration, and cloud-native architecture (preferred).
- Experience in mobility, distribution, retail, or 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
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