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# Data Engineer - Snowflake

- **Company:** Capgemini
- **Location:** Snowflake, AZ, United States
- **Experience:** Expert
- **Salary:** $76,730 - $150,800
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, ARM Architecture, Microsoft Azure, Cloud Computing, Information Systems, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Dimensional Modeling, Python (Programming Language), Query Optimization, DataOps, Search Technologies, Google Cloud, Cloud Platform System, Snowflake, Generative AI, Infrastructure Automation Frameworks, Information Technology, Star Schema, Text Analysis, Natural Language Understanding, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.capgemini.com/jobs/564260-en_GB_SAPBTP/x/

## About the Role

* Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
 * 5+ years of experience in Data Engineering, Data Warehousing, or BI Engineering.
 * 3+ years of hands-on Snowflake experience.
 * Strong SQL development and query optimization skills.
 * Experience building large-scale ETL/ELT pipelines.
 * Ability to design and implement AI-enabled data solutions within Snowflake using Cortex capabilities for natural language querying, semantic search, document processing, text analytics, and generative AI applications.
 * Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 * Proficiency in Python for data engineering and automation.
 * Experience with data modeling and warehouse design.
 * Strong understanding of data quality, data governance, and security principles.

## Description

We are seeking a highly skilled Senior Data Engineer to design, build, optimize, and maintain scalable cloud-based data platforms. The ideal candidate will have strong expertise in Snowflake, modern data warehousing, ETL/ELT development, cloud technologies, and data modeling. This role will partner closely with business stakeholders, analysts, data scientists, and engineering teams to deliver reliable, high-performance data solutions that support reporting, analytics, and advanced data initiatives.

Your role

 * Design, develop, and maintain scalable data pipelines and data integration solutions.
 * Build and optimize data warehouse solutions using Snowflake.
 * Develop ETL/ELT processes to ingest, transform, and load data from various source systems.
 * Implement data modeling techniques including dimensional modeling and star schema design.
 * Optimize Snowflake performance, storage, and cost management.
 * Ensure data quality, integrity, governance, and security across the data platform.
 * Collaborate with business users, analysts, and architects to gather requirements and deliver data solutions.
 * Troubleshoot and resolve data pipeline and performance issues.
 * Support CI/CD deployment processes and infrastructure automation.
 * Mentor junior engineers and promote data engineering best practices.
 * Participate in architecture reviews and technology evaluations.