Data Engineer

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 team to define what we should measure, to implementing it in production, to surfacing it in visualization tools.
• 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, performant, and discoverable data assets.
• 5
  Establish and enforce data quality standards through testing frameworks, documentation, and monitoring for the datasets you own.
• 6
  Drive adoption of consistent data modeling patterns, naming conventions, and documentation norms across the data organization.

RequirementsAI-extracted

• 3+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets.
• 3+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources.
• 3+ years of experience writing accurate and effective code in SQL.
• Fluency in Python or another programming language, with solid fundamentals in version control and CI/CD practices.
• Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar).
• Strong business acumen, with ability to partner with data scientists and product managers to translate ambiguous business questions into concrete metric definitions and data models.

Perks & BenefitsAI-extracted