GCP Data Platform Engineer (Fully Remote)

Jobgether; United States; Remote; USD 90,000 - 103,000; Part time

Benefits offered by this job

Fully remote

Competitive hourly rate

Job summary

Jobgether is seeking a data platform engineer to build and optimize cloud data platforms on Google Cloud Platform. You will develop BigQuery datasets, PostgreSQL schemas, and robust data pipelines in a fully remote contract role across the United States.

Applicants should have extensive experience with GCP, BigQuery, PostgreSQL, Python, and SQL, as well as data modeling and analytical dataset design. The position offers a competitive hourly rate and the freedom to work independently from home.

Qualifications

• GCP, BigQuery, PostgreSQL, Python, and SQL experience.
• Data modeling and analytical dataset design knowledge.
• Remote contract role with ability to work independently.
• Hourly rate of $65–$75 within the United States.

Responsibilities

• Build, maintain, and optimize cloud data platforms on Google Cloud Platform (GCP).
• Develop BigQuery datasets, PostgreSQL schemas, and data pipelines.
• Support production operations and tune performance.

Skills

GCP experience

BigQuery

PostgreSQL

Python

SQL

Data modeling

Job description

• Build, maintain, and optimize cloud data platforms on GCP.
• Develop BigQuery datasets, PostgreSQL schemas, and data pipelines.
• Support production operations and tune performance.

Requirements:

• Experience with GCP, BigQuery, PostgreSQL, Python, and SQL.
• Knowledge of data modeling and analytical dataset design.
• Ability to work independently in a remote contract role.
• Competitive hourly rate of $65–$75.
• Fully remote work within the United States.
• Opportunity to work with modern cloud technologies.

Jobgether

The hiring partner company develops cloud-based data platforms on Google Cloud Platform. This contract role offers a remote, project-oriented environment with collaborative technical teams and independent work.