The opportunity
As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, and other areas to build scalable solutions to transform data into key metrics reporting and insights.
What you'll do
Understand and whenever possible proactively identify the data needs of: stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
Develop insightful and reliable dashboards to track performance of core: metrics that will deliver insights to the whole company
Build foundational data products, dashboards and tools to enable self-serve: analytics to scale across the company
Closely partner with stakeholders to define and materialize metrics and: analysis for new and evolving consumer products in a fast paced environment
What they're looking for
- Influence the future roadmap of Product teams from a data systems perspective
- Become an expert in our organization’s data models and the company's data architecture
- + years of experience as an Data Engineer or similar Data Science & Analytics: roles, preferably partnering with Product leads to build and report on key company-wide metrics.
- A passion for the company's mission of building helpful, honest, and harmless AI.