Copy of Data Engineer Snowflake/Agentic AI
Core
Build and support batch and real-time data pipelines, tune distributed queries, and implement agentic AI solutions for carrier acceptance logic.
Role type
Senior Data Engineer (Agentic AI & Snowflake)
Builds
Fault-tolerant, self-healing data computational pipelines and agentic AI programs
Domain
Data Engineering, Agentic AI, Cloud Infrastructure
Deliverable
production ML models | data pipelines
Required skills
SQL (T-SQL, query-heavy), Python, FastAPI, scikit-learn, Kafka consumption, Terraform (read fluency), AWS basics (S3, RDS, Secrets Manager, CloudWatch), C# logic extraction, Snowflake, Databricks, Azure, Spark, data management, automation tools
Preferred skills
Experience with carrier-accept-probability logic, PostgreSQL (read-only)
Technologies
Snowflake, Databricks, Azure, Kafka, AWS, Terraform, FastAPI, scikit-learn
Responsibilities
Build and support non-interactive (batch, distributed) and real-time, highly available data pipelines; Tune queries running over billions of rows in a distributed query engine; Perform root cause analysis to identify permanent resolutions to software or business process issues; Develop and maintain documentation relating to all assigned systems and projects; Provide consultation and lead the implementation of complex programs
Seniority
Senior, hands-on IC