The opportunity
As a Data Engineer, you will be an early 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, GTM and other areas to build scalable solutions to…
What you'll do
Understand 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
Influence the future roadmap of Product and GTM teams from a data systems perspective
What they're looking for
- Become an expert in our organization’s data models and the company's data architecture
- + years of experience as a Data Engineer or similar Data Science & Analytics: roles, preferably partnering with GTM and 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.
- Expertise in building multi-step ETL jobs, building robust data models: through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
