Google Cloud Platform (GCP) Data Engineer

Job overview

The Google Cloud Platform (GCP) Data Engineer role is onsite in Charlotte, NC. Compensation is listed as $62 per hour. The engineer builds data pipelines connecting MongoDB sources with BigQuery analytics. The role supports reliable data integration, data quality, and production operations by designing and optimizing pipelines, troubleshooting failures, and collaborating with data scientists, software engineers, and business stakeholders.

What you'll do

• Design, build, and deploy scalable ETL/ELT pipelines using Python and GCP services
• integrate MongoDB data with Google Cloud Storage and BigQuery
• monitor and resolve pipeline failures and data discrepancies
• tune BigQuery queries, Dataflow jobs, and MongoDB indexes
• collaborate on data models
• support production monitoring, root-cause analysis, and CI/CD.

What we're looking for

Skills & competencies

gcp data engineer

google cloud platform

bigquery

cloud dataflow

cloud composer

mongodb

python

sql

charlotte nc

onsite

$62/hr

Work arrangement

• Weekend coverage required

Why this role

The posting lists BigQuery, Cloud Dataflow, Cloud Composer (Airflow), Cloud Storage, MongoDB, Python, complex SQL, and Cloud Logging/Monitoring. A Google Cloud Professional Data Engineer certification is preferred.

About the employer

PeopleNTech LLC is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.