Staff Analytics Engineer

Tech Stack

Responsibilities

• Be a subject-matter expert on critical datasets, fielding stakeholder questions and helping partners interpret data accurately.
• Own projects end-to-end, driving scoping, design, implementation, launch, and iteration of data products from raw sources to analytics-ready datasets.
• Architect and build scalable pipelines on Databricks using Spark + SQL, focusing on correctness, performance, and cost.
• Design strong data models (lakehouse/warehouse-style) that serve analytics and self-service use cases, defining entities, grains, dimensions, metrics, and contracts.
• Establish data quality and reliability standards through testing, reconciliation, anomaly detection, SLAs/SLOs, monitoring/alerting, and incident response, continuously improving time-to-detect and time-to-recover.

Soft Skills

Benefits

• Health Insurance
• Dental
• Vision
• Flexible PTO
• 401k
• HSA/FSA
• Commuter Benefits
• Parental Leave
• Life Insurance
• Disability Insurance

Culture

Requirements