About this role

Drive Innovation by exploring and implementing the latest AWS and big data technologies.
Collaborate Cross-Functionally with Data Engineers, BI Analysts, and Data Scientists.
Shape Platform Strategy by contributing to the Data Platform vision and roadmap.
Ensure Data Integrity by demonstrating exceptional work ethics and integrity.
Architect Agentic Pipelines for Analytics by designing multi-agent workflows.
Enable AI-Powered Data Products by driving the adoption of LLM-augmented data capabilities.

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field preferred.
At least 5 years of professional experience as senior data engineer.
Strong experience with hybrid Data Lake and Data Warehouse architectures.
Proven expertise with analytical cloud data warehouses (Redshift, Snowflake).
Hands-on experience with AI coding assistants and agentic workflow automation.
Ability to leverage LLMs with contextual data.
Defines specs and acceptance criteria for autonomous agents.
Strong foundation in engineering best practices throughout the development lifecycle.
Advanced proficiency in Python and SQL.

Senior Data Engineer – AI, Agentic Pipelines

Key skills