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Full Stack Data Engineer

Location: Remote
Compensation: Salary
Reviewed: Tue, Sep 22, 2026
This job expires in: 30 days

Job Summary

Working remotely, the full-time salaried Full Stack Data Engineer will design, develop, and maintain scalable data pipelines, ensuring high-quality data integration and governance while leveraging GCP services and advanced technologies.

Key responsibilities
  • Spearhead the design and maintenance of data ingestion and curation pipelines from diverse sources
  • Utilize full-stack skills to ensure seamless end-to-end data flow and integration
  • Implement robust data governance policies and optimize data workflows using tools like Astronomer and Terraform
Required qualifications
  • Bachelor's degree in Computer Engineering, Electrical Engineering, Information Technology, or a related field
  • 4 years of experience in a relevant role with a focus on data engineering
  • 2 years of experience with real-time streaming pipelines using Kafka, OpenShift, and Dataflow
  • Proficiency in Java and Spring Boot frameworks for data processing
  • Experience architecting database solutions using Spanner, PostgreSQL, and BigQuery

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