Data Migration Engineer — Cloud ETL Pipelines (Hybrid)

Capgemini; Irving (TX); Hybrid; USD 80,000 - 106,000; Full time

Benefits offered by this job

Flexible work

Healthcare including dental, vision, &

401(k) & Employee Share Ownership Plan

Paid time off and holidays

Paid parental leave

Family building benefits

Social well-being benefits

Mentoring, coaching & learning

Job summary

Capgemini is seeking a Data Migration Engineer to design and lead complex data migration initiatives within Stock Plan Services, blending hands-on data engineering with leadership of small teams. This role focuses on pipelines, data mappings, validation, and collaboration with product and QA teams to ensure high-quality outcomes.

The position requires 7–10 years in data engineering or migration, strong ETL/ELT, SQL, Python, and cloud experience with Azure/AWS, plus data modeling and

Qualifications

• 7-10 years in data engineering or migration.
• Hands-on experience with ETL/ELT tools and SQL/Python.
• Experience with cloud data platforms Azure and AWS.
• Solid understanding of data modeling and transformation patterns.
• Experience with testing, validation and reconciliation processes.
• Ability to lead small teams or initiatives.

Responsibilities

• Design and implement data migration pipelines and workflows.
• Define data mappings transformation logic and validation rules.
• Lead migration execution and troubleshooting.
• Ensure data accuracy, completeness and reconciliation.
• Collaborate with Product QA and business teams.
• Conduct data quality assessments and remediation.
• Support cutover planning and execution.
• Contribute to improving tools, frameworks and processes.

Skills

Data engineering

Migration experience

ETL/ELT tools

SQL

Python

Azure

AWS

Data modeling

Validation & reconciliation

Team leadership

Tools

Azure

AWS

SQL

Python

Job description

Capgemini is seeking a Data Migration Engineer to design and lead complex data migration initiatives within Stock Plan Services, blending hands-on data engineering with leadership of small teams. This role focuses on pipelines, data mappings, validation, and collaboration with product and QA teams to ensure high-quality outcomes.

The position requires 7–10 years in data engineering or migration, strong ETL/ELT, SQL, Python, and cloud experience with Azure/AWS, plus data modeling and