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# Information Technology_USA - USA_Developer job in Jacksonville

- **Company:** Real Soft Inc.
- **Location:** Jacksonville, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Amazon Web Services, Data Analysis, ARM Architecture, 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:** October 29, 2026
- **Apply:** https://jobs.diversity.com/career/2547321/information-technology_usa-usa_developer-florida-fl-jacksonville

## About the Role

12+ years in Data Engineering / Analytics (Snowflake, Talend, DBT, Cortex AI, Python)
(8+ years hands on Snowflake development & production support)
(4+ years' experience in P&C Insurance customers, managing month end closing activities)
(4+ years leading the team as technical lead)
Must Have Technical/Functional Skills
Snowflake, Cortex AI, Python and Insurance Domain on AWS Cloud, Talend ETL, &bull Snowflake: Advanced SQL, Performance Tuning, Security, Snowpipe, Streams & Tasks
&bull Data Engineering: ELT/ETL patterns, data modeling, CDC concepts
&bull Python: Data processing, automation, Snowpark (preferred)
&bull Strong understanding of cloud data platform architecture (AWS preferred)
AI / Analytics Skills
&bull Hands on exposure to AI/ML pipelines (feature preparation, training data creation)
&bull Experience supporting ML models through data engineering and operationalization
&bull Familiarity with Python ML libraries (scikit learn, pandas, NumPy) - applied from a data engineering perspective
&bull Understanding of model lifecycle support (data refresh, monitoring, retraining inputs)
Domain & Soft Skills
&bull Insurance domain experience (P&C / Specialty Insurance strongly preferred)
&bull Strong communication skills for onsite customer interaction
&bull Ability to translate business requirements into scalable data & AI solutions

Role Descriptions: Good information and sound knowledge in Snowflake and Talend.
Essential Skills: Good information and sound knowledge in Snowflak and Talend.
Desirable Skills:
Keyword:
Skills: Digital : Talend Open Studio~Digital : Snowflake
Experience Required: 10 & Above

## 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
&bull Perform root cause analysis for job failures and data analysis & fixes
&bull Perform Month End Closing Activities
Snowflake Development & Architecture
&bull Lead design and development of Snowflake schemas, tables, views, streams, tasks, and Snowpipes
&bull Define and enforce best practices for performance optimization (warehouse sizing, clustering, query tuning)
&bull Own Snowflake security architecture: RBAC, role hierarchy, data masking, row/column level security
&bull Oversee promotion of code across environments using CI/CD practices
Data Engineering & Integration
&bull Lead development of batch and near real time ingestion pipelines using Talend / Qlik Replicate / Snowpipe
&bull Ensure data quality checks, reconciliation, and schema drift handling
&bull Guide integration from insurance source systems (Policy, Claims, Billing, Reinsurance) into Snowflake
&bull Provide technical oversight for SQL, Python, and ELT based transformations
AI / Advanced Analytics Enablement
&bull 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)
&bull Support AI driven insights such as:
o Claims triage & risk scoring
o Fraud detection inputs
o Premium leakage and pricing analytics
&bull Guide teams in using Python, SQL, and Snowflake native capabilities for data science workloads