GCP Data Engineer: Build Scalable BigQuery Pipelines

Arkhya Tech Inc.; Charlotte (NC); On-site; USD 110,000 - 160,000; Full time

Job summary

Arkhya Tech Inc. in Charlotte, NC seeks a highly skilled GCP Data Engineer to design, build, and optimize data pipelines bridging MongoDB sources with BigQuery, ensuring high availability and data quality.

You will implement end-to-end ETL/ELT workflows using Python and GCP services, tune performance, monitor pipelines, and collaborate with data scientists and engineers to deliver trusted analytics-ready data models.

Qualifications

• Bachelor’s degree in computer science, engineering, or a related technical field.
• Hands-on experience with core GCP data services: BigQuery, Dataflow, Cloud Composer (Airflow), Cloud Storage.
• Strong proficiency in MongoDB and data warehousing concepts.

Responsibilities

• Design, build, and deploy scalable ETL/ELT data pipelines using Python and GCP-native services.
• Integrate data from MongoDB into Google Cloud Storage and load/transform it in BigQuery for analytics.
• Monitor, troubleshoot, and resolve pipeline failures and data discrepancies.

Skills

BigQuery

Dataflow

Cloud Composer

Cloud Storage

MongoDB

Python

SQL

CI/CD

Monitoring

Education

Bachelor’s degree in CS/Engineering

Tools

Airflow

Job description

Arkhya Tech Inc. in Charlotte, NC seeks a highly skilled GCP Data Engineer to design, build, and optimize data pipelines bridging MongoDB sources with BigQuery, ensuring high availability and data quality.

You will implement end-to-end ETL/ELT workflows using Python and GCP services, tune performance, monitor pipelines, and collaborate with data scientists and engineers to deliver trusted analytics-ready data models.