GCP Data Engineer

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

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 quality.

Key Responsibilities

• Pipeline Integration: Design, build, and deploy scalable ETL/ELT data pipelines using Python and GCP-native services.
• Database Management: Integrate data from MongoDB into Google Cloud Storage and load/transform it in Big Query for analytics.
• Support & Debugging: Monitor, troubleshoot, and resolve pipeline failures and data discrepancies.
• Performance Tuning: Optimize Big Query queries, Dataflow jobs, and MongoDB indexing to ensure cost-efficiency and fast execution.
• Collaboration: Partner with Data Scientists, Software Engineers, and business stakeholders to translate requirements into reliable data models.

Required Qualifications & Skills

• Education: Bachelor’s degree in computer science, Engineering, or a related technical field.
• Core GCP: Hands-on experience with core gcp data services: Big Query, Cloud Dataflow, Cloud Composer (Airflow), and Cloud Storage.
• Databases: Strong proficiency in NoSQL databases (specifically MongoDB) and data warehousing concepts.
• Programming: Advanced programming and scripting skills in Python and complex SQL.
• Support & CI/CD: Experience utilizing Cloud Logging/Monitoring for root cause analysis and implementing CI/CD frameworks.

Preferred Qualifications

• Certifications such as the Google Cloud Professional Data Engineer.

Familiarity with the BigQuery Data Engineering Agent to aid in pipeline troubleshooting and generation