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# GCP Data Engineer

- **Company:** Capgemini
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $77,730.0 - $121,451.0
- **Contract:** Temporary contract
- **Skills:** BigQuery, Information Systems, Information Engineering, Data Governance, Data Transformation, Data Mining, Data Systems, Data Warehousing, Database Development, Python (Programming Language), Cloud Services, Scripting, Freeform SQL, Google Cloud, Sql Optimization, Git, Information Technology, Software Version Control, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fc45937819b8cccb

## About the Role

We are seeking a GCP Data Engineer with strong experience designing and building scalable data solutions within Google Cloud Platform (GCP). This role will focus heavily on BigQuery-based data engineering, SQL development, and data warehousing, with additional exposure to DBT for data transformation and modeling. The ideal candidate will have experience working with large-scale telecommunications datasets, including customer experience (CES), call, chat, and network data, and will partner with cross-functional teams to deliver reliable, high-quality data solutions., * Bachelor's degree in Computer Science, Information Systems, or a related field.

 * 5+ years of experience in Data Engineering or a closely related role.
 * Strong hands-on experience with Google Cloud Platform (GCP), particularly BigQuery.
 * Advanced SQL skills with the ability to write and optimize complex queries.
 * Solid understanding of data warehousing concepts, architecture, and best practices.
 * Experience building and supporting scalable data pipelines.
 * Working knowledge of Python for scripting, automation, and operational support.
 * Experience using Git or other version control systems.
 * Strong analytical, troubleshooting, and communication skills.

## Description

* Design, build, and maintain scalable data pipelines within GCP, leveraging BigQuery and related cloud services.
 * Develop and optimize complex SQL queries for data extraction, transformation, and analytics.
 * Build and maintain data warehousing solutions that support performance, scalability, and reliability requirements.
 * Develop and manage DBT models for transforming raw data into curated, tested, and documented datasets.
 * Collaborate with data analysts, data scientists, and business stakeholders to translate business requirements into technical solutions.
 * Monitor data pipeline health, troubleshoot performance bottlenecks, and resolve data quality issues.
 * Automate operational processes and data workflows using Python scripting where appropriate.
 * Ensure adherence to data governance, security, and compliance standards.
 * Support the ingestion, transformation, and analysis of telecommunications datasets, including customer experience, call, chat, and network data.