Data Engineer (Product)

Join Anthropic, a leading AI safety and research company. As a Data Engineer, you will play a crucial role in understanding and anticipating the data needs of partner teams, building key data pipelines, and creating reliable dashboards. You will also partner with stakeholders to define metrics and analysis for new consumer products, shape product team roadmaps, and become an expert in our data models and architecture. Enjoy comprehensive benefits, a competitive salary, and the opportunity to make a meaningful impact in the field of AI.

- Comprendre et anticiper les besoins en données des équipes partenaires, et les traduire en modèles de données, rapports et exigences techniques. - Définir, construire et gérer des pipelines dbt clés qui transforment les journaux bruts en ensembles de données canoniques. - Établir des normes d'intégrité des données et des SLA afin que les données soient livrées à temps et avec précision.

- A passion for Anthropic's mission of building helpful, honest and harmless AI - Expertise building multi-step ETL jobs with tools like dbt, plus experience with workflow tools like Airflow and version control through GitHub - An end-to-end mindset: you take ownership of solving a problem fully, even when that means picking up work beyond your usual scope - Experience using AI to scale your own productivity and your team's without lowering the quality of the work - Expertise in SQL and Python for turning data into accurate, clean data models - A bias for action, and a sense of when "good enough" beats perfect - Comfort with ambiguity, and a habit of creating clarity and forward progress - Significant experience as a Data Engineer or in a similar Data Science & Analytics role, ideally partnering with Product leads to build and report on company-wide metrics - Experience building reporting and dashboards in tools like Hex that serve multiple cross-functional teams - Bachelor’s degree or an equivalent combination of education, training, and/or experience - We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team - Experience building a data engineering (or similar) function from the ground up in an early-stage or fast-growing environment