Remote Google Cloud Data Engineer: Real-Time Pipelines

IBM; United States; Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Healthcare benefits

401(k)

Paid time off

Job summary

IBM Consulting is seeking a Data Engineer focused on Google Cloud data platforms to design, build, and maintain end-to-end data pipelines for data warehouse and data lake environments. You will leverage DataProc, DataFlow, Pub/Sub, and BigQuery to enable batch and streaming processing.

The role emphasizes data migration, data layer design, and collaboration with cross‑functional teams to deliver scalable data solutions on Google Cloud.

Qualifications

• Experience designing, building, and maintaining data pipelines on Google Cloud.
• Familiarity with batch and real-time data processing.
• Proficiency with data modeling and data warehousing concepts.

Responsibilities

• Design data pipelines for batch and real-time processing on Google Cloud.
• Develop data engineering solutions using Spark/Python or Beam with DataFlow.
• Manage data platforms with Airflow/Cloud Composer for reliable pipelines.
• Implement data migration and optimize data layer design for performance.

Skills

Google Cloud

Data pipelines

Apache Airflow

BigQuery

Spark/Python

Education

Bachelor's Degree

Tools

DataProc

DataFlow

Pub/Sub

BigTable

BigQuery

Cloud Spanner

CloudSQL

AlloyDB

Apache Airflow

dbt

Job description

IBM Consulting is seeking a Data Engineer focused on Google Cloud data platforms to design, build, and maintain end-to-end data pipelines for data warehouse and data lake environments. You will leverage DataProc, DataFlow, Pub/Sub, and BigQuery to enable batch and streaming processing.

The role emphasizes data migration, data layer design, and collaboration with cross‑functional teams to deliver scalable data solutions on Google Cloud.