Senior Data Engineer, Analytics

📋 Description

• Design, build, and maintain curated analytical datasets and data models.
• Own end-to-end metric definitions from concept to production.
• Build executive dashboards and self-serve reporting for stakeholders.
• Partner with data science, product, and engineering to create data assets.
• Establish data quality standards with testing, documentation, and monitoring.
• Drive adoption of consistent data modeling patterns and naming conventions.

🎯 Requirements

• 4+ years in analytics or data engineering focused on curated datasets.
• 4+ years designing, developing, and maintaining robust data models.
• 4+ years writing accurate SQL code.
• Experience building data models for experimentation and multiple use cases.
• Python or similar language with version control and CI/CD.
• Experience building exec dashboards with BI tools (Looker/Tableau); Bonus: dbt/BigQuery/semantic layer.