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# Data Engineer Snowflake

- **Company:** Capgemini
- **Location:** Miami, FL, United States
- **Experience:** Expert
- **Salary:** $81,744.0 - $127,712.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, ARM Architecture, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, Github, Python (Programming Language), Systems Development Life Cycle, Query Optimization, Salesforce.Com, SQL Databases, Snowflake, Data Pipelines, Control M
- **Published:** October 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bd224c2a3d3761fe

## About the Role

problem - solving analytical skills
query optimization

 * Seeking a hands-on Data Engineer to develop, optimize, and support enterprise data solutions on the Snowflake platform.
 * The role will focus on building scalable data pipelines, enabling data integration, supporting analytics and AI initiatives, and ensuring reliable, secure, and high-performing data products., * 5+ years of Data Engineering experience.
 * Strong expertise in:
 * Snowflake
 * SQL & Query Optimization
 * Python
 * dbt
 * Matillion
 * Data Modeling & Data Warehousing
 * Experience with GitHub, CI/CD, and production support.
 * Strong problem-solving and analytical skills.

Preferred Skills:

 * SnowPro Certification
 * Experience with Fivetran, Striim, Control-M, AWS, or Salesforce integrations.
 * Exposure to Snowflake Cortex, AI/ML enablement, and automation frameworks.

Key Competencies:

 * Strong ownership and accountability.
 * Automation and continuous improvement mindset.
 * Excellent troubleshooting and RCA skills.
 * Effective stakeholder communication and collaboration., * A highly skilled Data Engineer with strong Snowflake expertise who can build and support enterprise-grade data pipelines, drive modernization initiatives, and deliver reliable, scalable data solutions.

## Description

* Design and develop data pipelines using Snowflake, SQL, Python, dbt, and Matillion.
 * Build and maintain ELT/ETL frameworks and data integrations.
 * Optimize Snowflake performance, scalability, and cost efficiency.
 * Implement data quality, monitoring, and automation solutions.
 * Support production incidents, troubleshooting, and root cause analysis.
 * Collaborate with Architecture, Analytics, Platform Engineering, and Business teams.
 * Follow SDLC, governance, security, and compliance standards.