Senior Data Engineer, Analytics

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Design, build, and maintain curated analytical datasets and data models that serve as canonical sources for metrics, dashboards, and analyses
• 2
  Own metric definitions end to end, from partnering with data science and product teams to define what to measure, to implementing it in production
• 3
  Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions
• 4
  Partner closely with data science, product manager, and engineering teams to translate business questions into well-modeled data assets
• 5
  Establish and enforce data quality standards through testing frameworks, documentation, and monitoring for owned datasets

RequirementsAI-extracted

• 4+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets
• 4+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources
• 4+ years of experience writing accurate and effective code in SQL
• Experience with designing data models to power a variety of use cases, including experimentation
• Fluency in Python or another programming language, with solid fundamentals in version control and CI/CD practices

Perks & BenefitsAI-extracted