AI Data Engineer
FactualIQ
About the role
About
Advance your career as an AI Data Engineer building next‑gen data systems. You’ll create robust data pipelines and processing frameworks that fuel real‑time decision support in enterprise environments. In this technical position, you will design and maintain data infrastructures essential for AI applications. Collaborating with experienced engineers, your work will involve database optimization, semantic searches, and effective data governance strategies. This role is pivotal to enhancing operational efficiency within established organizations. Utilize your data expertise to develop systems that fortify enterprise decision‑making and leave a lasting impact on client success.
Responsibilities
- Build and maintain efficient data processing workflows
- Optimize performance of relational and vector databases
- Implement feature engineering and caching systems
- Ensure data quality through validation and monitoring
- Participate in sprint planning and technical discussions
Requirements
- 4+ years of production‑level data engineering experience
- Strong background in Python and SQL
- Experience with relational and vector databases
- Familiar with data pipeline orchestration tools
- Understanding of data modeling and compliance practices
Requirements
- Strong background in Python and SQL
- Experience with relational and vector databases
- Familiar with data pipeline orchestration tools
- Understanding of data modeling and compliance practices
Responsibilities
- Build and maintain efficient data processing workflows
- Optimize performance of relational and vector databases
- Implement feature engineering and caching systems
- Ensure data quality through validation and monitoring
- Participate in sprint planning and technical discussions
Skills
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