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# Data Engineer

- **Company:** Capgemini
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $72,550.0 - $113,360.0
- **Contract:** Temporary contract
- **Skills:** Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Memory Management, Job Scheduling, Python (Programming Language), Standard Sql, SQL Databases, Snowflake, Information Technology, Api Management
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5dc4c8c728d805c7

## About the Role

* Experience: 6-8 years of IT experience with 4-5 yrs of experience working on data engineering projects.
 * DBT: Expert-level SQL and experience managing complex dbt projects. Need to have experience in CI/CD management and job schedulers. This is very important and will definitely need to brush up on SQLs.
 * Python: Good experience in creating ETL pipelines and API integrations with Snowflake. This is going to be asked, so need to know how Python works in ETL pipeline including memory management, clustering concept etc.
 * Snowflake: Hands-on knowledge of Snowflake; at least conceptual knowledge of Snowflake architecture is preferred. However, good data warehousing experience is a must, even if Snowflake experience is limited.

## Description

Need a Senior Level Data Engineer with around 6-8 yrs of IT experience. Responsible for writing various transformation using either Python scripts and/or DBT Models in Snowflake.


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