About the Role

Data Engineer role designing and building next-generation data infrastructure that serves both human analysts and AI systems. The position focuses on creating scalable data solutions that support traditional analytics and modern AI/ML workflows while ensuring data quality and reliability.

Key Responsibilities

• Architect and implement scalable data infrastructure for analytics and AI/ML workflows
• Design data models and pipelines optimized for AI readiness and traditional reporting
• Build robust ETL/ELT processes for data ingestion and transformation
• Develop APIs and interfaces for AI agents to access enterprise data
• Implement vector databases and embedding storage solutions for AI applications

Required Skills & Qualifications

Must Have:

• 3+ years of data engineering experience
• Experience with data modeling
• Experience with data warehousing
• Experience building ETL pipelines

Nice to Have:

• Experience with AWS technologies (Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM)
• Experience with non-relational databases/data stores (object storage, document/key-value stores, graph databases, column-family databases)

Benefits & Perks

• Medical benefits
• Financial benefits
• Other employee benefits
• Equity compensation
• Sign-on payments