GCP BigQuery Data Engineer – Real‑Time Ingest & CDP

Tech Mirrors; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Tech Mirrors in Atlanta is seeking an experienced Data Engineer focused on GCP BigQuery, data ingestion pipelines, and real‑time CDP integration. You will architect and implement scalable batch and streaming pipelines, connect enterprise data sources to Google Cloud, and enable real‑time customer data processing. Adobe RT‑CDP/AEP experience is highly preferred.

The role requires strong SQL, Python, and ETL/ELT skills, plus familiarity with APIs and data governance in large cloud environments.

Qualifications

• Hands‑on with GCP BigQuery and cloud data engineering solutions.
• Design and develop data ingestion pipelines for batch and real‑time processing.
• Integrate enterprise data sources with Real‑Time CDP (RT‑CDP) and customer data platforms.
• Proficiency in SQL, Python, and ETL/ELT frameworks.
• Experience with APIs, connectors, and real‑time data integration patterns.

Responsibilities

• Build scalable batch and streaming data pipelines on Google Cloud.
• Ingest and integrate enterprise data sources for real‑time processing.
• Collaborate on data modeling, quality, and performance optimization.

Skills

GCP BigQuery

Data ingestion pipelines

SQL

Python

ETL/ELT

Tools

APIs

Real‑Time CDP

Job description

Tech Mirrors in Atlanta is seeking an experienced Data Engineer focused on GCP BigQuery, data ingestion pipelines, and real‑time CDP integration. You will architect and implement scalable batch and streaming pipelines, connect enterprise data sources to Google Cloud, and enable real‑time customer data processing. Adobe RT‑CDP/AEP experience is highly preferred.

The role requires strong SQL, Python, and ETL/ELT skills, plus familiarity with APIs and data governance in large cloud environments.