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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Snowflake Lead Data Engineer - **Company:** K&K GLOBAL TALENT SOLUTIONS INC - **Location:** San Antonio, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Amazon Web Services, Data Analysis, Cyber Security, Continuous Integration, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Masking, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, NumPy, Performance Tuning, Query Optimization, Role-Based Access Control, Azure Machine Learning, SQL Databases, Talend, Data Processing, Cloud Platform System, Feature Engineering, Data Ingestion, Sql Optimization, Snowflake, Pandas, Scikit Learn, Data Analytics, Qlikview, Star Schema, Machine Learning Operations, Databricks - **Published:** July 31, 2026 - **Apply:** https://www.dice.com/job-detail/79137cd5-8513-463d-bdc4-2b6bd71514a0 ## About the Role * Snowflake: Advanced SQL, Performance Tuning, Security, Snowpipe, Streams & Tasks * Data Engineering: ELT/ETL patterns, data modeling, CDC concepts * Python: Data processing, automation, Snowpark (preferred) * Strong understanding of cloud data platform architecture (AWS preferred) AI / Analytics Skills * Hands on exposure to AI/ML pipelines (feature preparation, training data creation) * Experience supporting ML models through data engineering and operationalization * Familiarity with Python ML libraries (scikit learn, pandas, NumPy) - applied from a data engineering perspective * Understanding of model lifecycle support (data refresh, monitoring, retraining inputs) Domain & Soft Skills * Insurance domain experience (P&C / Specialty Insurance strongly preferred) * Strong communication skills for onsite customer interaction * Ability to translate business requirements into scalable data & AI solutions ## Description The Snowflake Lead will serve as the onsite technical lead for CLEARBROOK 's enterprise data platform, responsible for end to end Snowflake solution design, development leadership, and AI/advanced analytics enablement. The role requires deep hands on expertise in Snowflake, strong data engineering fundamentals, and the ability to integrate AI/ML driven use cases into the Snowflake ecosystem while coordinating with offshore teams. Snowflake Production Support * Perform root cause analysis for job failures and data analysis & fixes * Perform Month End Closing Activities Snowflake Development & Architecture * Lead design and development of Snowflake schemas, tables, views, streams, tasks, and Snowpipes * Define and enforce best practices for performance optimization (warehouse sizing, clustering, query tuning) * Own Snowflake security architecture: RBAC, role hierarchy, data masking, row/column level security * Oversee promotion of code across environments using CI/CD practices Data Engineering & Integration * Lead development of batch and near real time ingestion pipelines using Talend / Qlik Replicate / Snowpipe * Ensure data quality checks, reconciliation, and schema drift handling * Guide integration from insurance source systems (Policy, Claims, Billing, Reinsurance) into Snowflake * Provide technical oversight for SQL, Python, and ELT based transformations AI / Advanced Analytics Enablement * Enable AI/ML use cases on Snowflake, including: o Feature engineering datasets for ML models o Snowpark (Python)-based data processing o Integration with external ML platforms (Databricks / SageMaker / Azure ML where applicable) * Support AI driven insights such as: o Claims triage & risk scoring o Fraud detection inputs o Premium leakage and pricing analytics * Guide teams in using Python, SQL, and Snowflake native capabilities for data science workloads ## Related Videos - [Vectorize all the things! 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