Staff Data Engineer, Analytics

7+ years of experience in **analytics or data engineering** with a strong focus on building curated, consumer-facing datasets

7+ years of experience in **designing, developing, and maintaining robust data models** from structured and unstructured sources

Expert-level SQL and strong Python skills, with solid fundamentals in version control and CI/CD

Proven experience implementing data quality audits, monitoring systems, and automated remediation for massive datasets

Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar)

Strong business acumen and communication skills, comfortable translating ambiguous business questions into concrete metric definitions and explaining complex implementations to audiences from engineering peers to executive leadership

Define technical strategy and architectural direction for analytics data infrastructure, building and maintaining enterprise-scale curated datasets and data models

Own metric definitions end to end, from partnering with stakeholders to define what we measure, to designing and implementing data model in production, to surfacing metrics and dimensions in dashboards and reports

Design and build sophisticated data models and analytical frameworks using SQL, Python, and modern data stack technologies

Develop data quality frameworks, monitoring, anomaly detection, and alerting at massive scale, with governance, lineage tracking, and change management rigor appropriate for externally reported numbers

Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization

Lead cross-functional technical initiatives across product verticals and mentor engineers to accelerate delivery and harden data systems