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GCP Data Engineer

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GCP Data Engineer
EIT

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Charlotte, North carolina, United States
Classification symbol Information Technology
H-1B
All other/unspecified
Job posted on July 1, 2026
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Job Description:
Role : GCP Data Engineer Location : Charlotte NC (onsite) Contract

Only H1B, H4 EAD, L2 EA

D
Detailed JD
: We are seeking a highly skilled GCP Data Engineer to design, build, and optimize robust data pipelines. In this role, you will bridge the gap between our NoSQL data sources (MongoDB) and our analytical data warehouse (Big Query). You will be responsible for end-to-end data integration, performance tuning, and providing production support and debugging to ensure high availability and data qualit y.Key Responsibiliti
  • esPipeline Integration: Design, build, and deploy scalable ETL/ELT data pipelines using Python and GCP-native service
  • s.Database Management: Integrate data from MongoDB into Google Cloud Storage and load/transform it in Big Query for analytic
  • s.Support & Debugging: Monitor, troubleshoot, and resolve pipeline failures and data discrepancie
  • s.Performance Tuning: Optimize Big Query queries, Dataflow jobs, and MongoDB indexing to ensure cost-efficiency and fast executio
  • n.Collaboration: Partner with Data Scientists, Software Engineers, and business stakeholders to translate requirements into reliable data model

s.Required Qualifications & Skil
  • lsEducation: Bachelor’s degree in computer science, Engineering, or a related technical fiel
  • d.Core GCP: Hands-on experience with core gcp data services: Big Query, Cloud Dataflow, Cloud Composer (Airflow), and Cloud Storag
  • e.Databases: Strong proficiency in NoSQL databases (specifically MongoDB) and data warehousing concept
  • s.Programming: Advanced programming and scripting skills in Python and complex SQ
  • L.Support & CI/CD: Experience utilizing Cloud Logging/Monitoring for root cause analysis and implementing CI/CD framework

s.Preferred Qualificatio
  • nsCertifications such as the Google Cloud Professional Data Enginee
  • r.Familiarity with the BigQuery Data Engineering Agent to aid in pipeline troubleshooting and generati


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