Data Engineer III
At a glance
Mid-level Data Engineering role at Servco. Honolulu · full-time · $93,900–$142,700 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain governed data pipelines and models that bring internal-system and API data to analytics, applications and AI
- Turn business needs into technical options, estimates, risks and delivery plans, then guide assigned work through release and support
- Add automated checks for data quality, reconciliation and lineage, supplying reliable inputs for AI evaluation and monitoring
- Troubleshoot performance, scaling, cost and platform issues; automate cloud infrastructure and restore pipelines during on-call coverage
- Guide junior engineers through pairing and reviews, and coordinate data products with analytics, architecture and AI colleagues
What you bring
- At least seven years in data engineering, with strong Python, SQL, integration, orchestration and data modeling skills
- Hands-on Azure and Databricks work across cloud pipelines, testing, monitoring and performance tuning
- Production experience with Git, automated tests, CI/CD and infrastructure as code
- You can lead technical work, explain tradeoffs, mentor peers and handle production incidents
Who this fits
This individual-contributor role suits an experienced engineer who can lead technical assignments while mentoring junior colleagues. The position is based in Honolulu and includes assigned on-call coverage.
From the employer
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.
Reliability and infrastructure
- 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.
Partnership and mentoring
- 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.
QUALIFICATIONS:
Education:
- Degree in a related field preferred, or equivalent experience.
Work 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)
Skills:
- Ability to lead technical assignments, communicate tradeoffs, mentor peers, and resolve production incidents.
- Working knowledge of data governance, quality, lineage, privacy, and secure access.
Licenses and Certifications:
- Relevant Databricks certification or equivalent demonstrated capability. (Preferred)
About Servco:
At Servco, we’re committed to providing valuable mobility solutions to empower people through the freedom of movement and opportunity. From Australia to California, and of course, Hawaii, Team Servco is a collective of over 2,000 like-minded individuals guided by our four Core Values of Respect, Service, Teamwork, and Innovation. For over 100 years, we have been dedicated to superior service, to both our customers and team members. We look forward to helping you create Life:Moments that matter to you.
Interested?
Visit www.servco.com/careers to apply online or email us at careers@servco.com.
Equal Opportunity Employer and Drug-Free Workplace
Pay Range: $93,900.00 - $142,700.00 per year
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