Staff Data Engineer - Analytics

Key Skills

Apache Airflow, Data Analytics, Data Engineering, Data pipelines, Data science techniques, Data Warehousing, Google BigQuery, Python Programming, SQL

Job Description

Responsibilities:

As Staff Data Engineer - Analytics, you will work on a diverse set of initiatives spanning the data engineering and data science domains to help Character grow its product through analytical excellence.

You will partner with our Data Platform and Data Science teams to optimize warehouse design and performance, evolve critical product analytics systems, enable and expand use cases of product data and help develop a world-class data culture. Your initial focus will be on these key areas:

• Evolve our A/B testing tooling: Conduct a thorough analysis of our current A/B testing framework and prepare it for the next generation of data-driven product growth.

• Evolve our analytics event collection systems: Conduct a thorough analysis of the product landscape for a scalable and robust solution that prepares the company for its next phase of growth.

• Enable product team insights: Design, implement, and maintain a robust data warehousing design for consistent and reliable reporting and ease of data exploration as we continue to better understand our users.

Requirements:

• 5+ years experience in data engineering within a consumer-facing technology company (chat, social media, or UGC)

• Experience building data warehousing and pipelines with BigQuery (or similar), dbt and Airflow

• Experience modeling and scaling event telemetry systems for analytical use-cases

• Experience implementing and supporting product experimentation data platforms

• Proven track record of cross-functional execution and collaboration

• Strong Python and SQL experience

Join our visionary team, on-site 3-5 days a week, at the forefront of next-generation AGI.

About Character.AI

Founded in 2021 by AI pioneers Noam Shazeer and Daniel De Freitas, Character is a leading AI company offering personalized experiences through customizable AI 'Characters.' As one of the most widely used AI platforms worldwide, Character enables users to interact with AI tailored to their unique needs and preferences.

Noam co-invented core LLM tech and was recently honored as one of TIME's 100 Most Influential in AI. Daniel created LaMDA, the breakthrough conversational AI now powering Google's Bard.

In just two years, we achieved unicorn status and were named Google Play's AI App of the Year – a testament to our groundbreaking technology and vision.