Data Engineer Snowflake

Capgemini; Miami (FL); On-site; USD 120,000 - 160,000; Full time

Job summary

Capgemini is seeking a hands-on Data Engineer to build and maintain enterprise data solutions on the Snowflake platform in an onsite contract role in Miami, FL. You will develop scalable data pipelines and high-performing data products with focus on reliability, security, and ongoing optimization.

You will work across the data lifecycle, from ELT/ETL design to monitoring quality and supporting production operations.

Qualifications

• 5+ years of Data Engineering experience.
• Strong expertise in Snowflake.
• Strong SQL and query optimization skills.
• Python experience.
• Experience with dbt.
• Experience with Matillion.
• Experience with data modeling and data warehousing.
• Experience with GitHub, CI/CD, and production support.

Responsibilities

• 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.

Skills

Data engineering

Problem solving

Analytical skills

Collaboration

Tools

Snowflake

dbt

Matillion

GitHub

CI/CD

AWS

Salesforce

Job description

Capgemini is seeking a hands-on Data Engineer to build and maintain enterprise data solutions on the Snowflake platform. This onsite contract role in Miami, FL focuses on developing scalable data pipelines and high-performing data products, with an emphasis on reliability, security, and ongoing optimization.

You will work across the data lifecycle, from designing ELT/ETL frameworks and integrations to monitoring quality and supporting production operations. The position also includes collaboration with Architecture, Analytics, Platform Engineering, and Business teams to align delivery with governance, security, and compliance standards.

Responsibilities

• 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.

Requirements

• Minimum 5+ years of Data Engineering experience.
• Strong expertise in Snowflake.
• Strong SQL and query optimization skills.
• Python experience.
• Experience with dbt.
• Experience with Matillion.
• Experience with data modeling and data warehousing.
• Experience with GitHub, CI/CD, and production support.
• Strong problem-solving and analytical skills.

Technologies

• Snowflake, SQL, Python, dbt, Matillion
• ELT/ETL
• GitHub, CI/CD
• AWS, Salesforce
• Fivetran, Striim, Control-M
• Snowflake Cortex

Benefits

• Medical
• Dental
• Vision
• Retirement benefits

Preferred Skills

• SnowPro Certification.
• Experience with integrations such as Fivetran, Striim, Control-M, AWS, or Salesforce.
• 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.

The ideal candidate is 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.