Overview
Remote
On-site
Compensation
$93,900-$142,700/year
Job Description
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.KEY OUTCOMES:Engineering delivery
- 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.
- 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 a production environment.
- 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)
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FAQs About Data Engineer III Jobs at Servco Pacific Job Distro
What is the work location for this position at Servco Pacific Job Distro?
This job at Servco Pacific Job Distro is located in Honolulu, HI, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Servco Pacific Job Distro?
Candidates can expect a pay range of $93,900 and $142,700 per year.
What employment applies to this position at Servco Pacific Job Distro?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at Servco Pacific Job Distro?
You can apply for this role at Servco Pacific Job Distro either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.