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Google Cloud Platform Data Engineer

TECHAGI SOLUTIONS LLCUnited States🇺🇸United StatesPosted 15 Sept 2026

Why This Role Stands Out

Leverage your expertise in Google Cloud Platform to design and build innovative data solutions with a competitive hourly rate of $58. This fully remote, long-term contract is ideal for experienced Data Engineers who thrive on complex challenges and want to make a significant impact in a dynamic tech environment. Apply now to join a forward-thinking team and advance your cloud data engineering career.

Quick Overview

Salary

$58/hr

Seniority

Mid Senior

Work mode

Remote

Location

United States

Posted

Yesterday

MicroservicesSQLETLBigQueryGoogle CloudPython

Job Description

Google Cloud Platform Data Engineer

Location: 100% Remote
Contract: Long-Term C2C
Rate: $58/hour on C2C
Experience: 10+ Years
Interview Mode: Video

Job Description

TechAGI Solutions is seeking an experienced Google Cloud Platform Data Engineer to design, develop, and maintain scalable cloud-based data pipelines and data-processing solutions.

Key Responsibilities

Build and maintain data pipelines using Google Cloud Platform technologies.
Develop data-processing solutions using BigQuery and Dataflow.
Create ETL workflows using Python, SQL, and PySpark.
Integrate data platforms with APIs and microservices.
Optimize data pipelines for performance and reliability.
Support automated deployments using CI/CD processes.
Troubleshoot production issues and improve data quality.
Collaborate with technical and business teams.

Required Qualifications

10+ years of overall IT experience.
Strong hands-on experience with Google Cloud Platform.
Experience with BigQuery and Google Cloud Dataflow.
Strong Python, SQL, and PySpark skills.
Experience developing ETL pipelines.
Experience with APIs and microservices.
Knowledge of CI/CD tools and deployment automation.
Experience using AI-assisted coding tools.
Strong communication and problem-solving skills.

Key Skills

Google Cloud Platform, BigQuery, Dataflow, Python, SQL, PySpark, ETL, Data Pipelines, APIs, Microservices, CI/CD, AI Coding Tools

Interested candidates can send their updated resume, current location, work authorization, rate confirmation, and availability to .

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