Join Box as a Data Engineer II to design and operate data foundations for FinOps insights and SRE outcomes, and leverage AI to accelerate development and analysis.
Requirements
- Partner with data science, SRE, and FinOps stakeholders to translate scoped business requirements into scalable data solutions.
- Build and maintain ETL/ELT pipelines that ingest, clean, transform, and aggregate data from disparate systems using GCP services.
- Implement and monitor data quality checks, testing, and observability to ensure trustworthy, timely datasets and dashboards.
- Support incident triage for pipelines; troubleshoot issues, document root causes, and implement fixes with guidance as needed.
- Develop and maintain user-facing data assets (e.g., curated tables, views, Looker/BI dashboards) for cloud cost and operational reporting.
- Contribute to engineering best practices through code reviews, documentation, and sprint ceremonies; proactively suggest improvements.
- Collaborate cross-functionally with Finance, Engineering, and leadership to align data deliverables to business priorities and timelines.
- Leverage AI tools to accelerate development, testing, and analysis, driving higher-quality, faster outcomes.
Benefits
- Competitive salary and benefits package
To apply for this job please visit job-boards.greenhouse.io.

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