Snowflake Data Engineer

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

Snowflake
Data Engineer
ETL
Data Modeling
Cloud Data Platform
SQL
Data Pipeline
Financial Services
Snowflake Architecture
Data Integration
Snowflake Developer
Data Analytics
Scalable Data Solutions
Data Warehousing
Client-Facing.
Amazon Web Services
Analytical Skill
Analytics
Collaboration
Conflict Resolution
Customer Facing
Data Management
Extract
Transform
Load
Good Clinical Practice
Google Cloud Platform
Management
Microsoft Azure
Modeling
Optimization
Problem Solving
Reporting
Snow Flake Schema
Workflow

Job Details

Snowflake Data Engineer

Location: Atlanta, GA 30308 (Onsite)
Duration: 6 Months
Employment Type: W2 Only
Experience Required: 7+ Years

Job Summary:

We are seeking a Snowflake Data Engineer with strong expertise in data modeling, ETL, and Snowflake architecture. The ideal candidate will have hands-on experience in designing and managing scalable data pipelines, collaborating with clients, and supporting analytics initiatives in financial services or similar domains.

Key Responsibilities:

  • Design and implement data models and ETL pipelines using Snowflake.

  • Develop, maintain, and optimize scalable data architectures to support enterprise reporting and analytics.

  • Collaborate with stakeholders to gather requirements and deliver high-quality data solutions.

  • Apply strong analytical and problem-solving skills to troubleshoot and optimize workflows.

  • Engage in client-facing activities to support project objectives and deliverables.

Must Have Skills:

  • Snowflake hands-on experience in development and deployment

  • ETL design, implementation, and optimization of pipelines

  • Data Modeling strong experience designing relational and dimensional models

Nice to Have Skills:

  • Financial Services domain knowledge

  • Advanced SQL and performance tuning

  • Cloud data platform exposure (AWS, Azure, or Google Cloud Platform)

Top 3 Responsibilities:

  1. Hands-on Snowflake, ETL, and data modeling experience

  2. Client-facing engagement and technical delivery

  3. Support data management and analytics initiatives in financial services

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About ITBrainiac Inc