Artisan is looking for a high-caliber Data Engineer to architect and scale the data systems that power their AI workflows. The goal is to build reliable data pipelines, integrate external APIs, maintain clean and structured data models, and enable product and ML teams to iterate quickly.
Requirements
- Proficiency in Python, SQL, and modern data tooling (dbt, Airflow, Dagster, or similar).
- Experience designing and operating ETL/ELT pipelines in production.
- Experience with cloud platforms (AWS, GCP, or Azure).
- Familiarity with data lakes, warehouses, and vector databases.
- Experience integrating APIs and working with semi-structured data (JSON, logs, event streams).
- Strong understanding of data modeling and optimization.
- Bonus: experience supporting LLMs, embeddings, or ML training pipelines.
Responsibilities
- Design, build, and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data.
- Manage ingestion from third-party APIs, internal systems, and customer datasets.
- Develop and maintain data models, data schemas, and storage systems optimized for ML and product performance.
- Collaborate with ML engineers to prepare model-ready datasets, embeddings, feature stores, and evaluation data.
- Implement data quality monitoring, validation, and observability.
- Work closely with product engineers to support new features that rely on complex data flows.
- Optimize systems for performance, cost, and reliability.
Other
- 3+ years of experience as a Data Engineer, ML Engineer, Backend Engineer, or similar.
- Thrive in ambiguous environments, enjoy wearing multiple hats, and be comfortable designing end-to-end data solutions with minimal direction.
- Builder Mentality: hands-on engineer who thrives in a fast-paced environment, enjoys autonomy, and takes ownership of problems from start to finish.
- Strong Communication: translate technical complexity into clarity. Work well with ML, product, and GTM partners.
- Practical, Not Academic: can design elegant systems but default to shipping solutions that work and can be iterated on.
