The AI organization needs to build data integrations for AI assistant products, requiring a Data Engineer with expertise in large-scale pipeline development and AI model integration.
Requirements
- 10+ years of experience in data engineering, with a strong background in building large-scale data pipelines.
- Proven experience integrating data for AI models, ideally within AI assistant or business assistant products.
- Expertise in API data integrations and working with large, complex datasets.
- Advanced proficiency in SQL and data manipulation.
Responsibilities
- Lead and manage data engineering projects through the full development lifecycle.
- Design, build, test, and maintain robust data management systems and ETL pipelines.
- Ensure data systems meet business requirements and align with industry best practices.
- Collaborate with data architects, modelers, and cross-functional teams to deliver integrated solutions.
- Develop high-performance algorithms, prototypes, predictive models, and proof-of-concepts.
- Support AI model development through seamless data integration and transformation.
Other
- Translate business initiatives into scalable data engineering solutions.
- Strong communication skills – written, verbal, and presentation.
- Ability to work in fast-paced, high-growth environments with minimal supervision.
- This is a fully remote position.
