Data Engineer - GCP

About this role

Job Title: Data Engineer – GCP

Location: Denver, CO (Remote)
Employment Type: Contract

Job Description

We are seeking a highly skilled Data Engineer with strong Google Cloud Platform (GCP) expertise to design and build scalable modern data platforms. The ideal candidate will have hands-on experience implementing Medallion Architecture, building enterprise-grade data pipelines, and optimizing analytical workloads using BigQuery and PySpark.

This role requires deep technical knowledge in BigQuery, Dataflow, Cloud Composer (Airflow), PySpark, and Python, along with strong experience in data governance, CI/CD, and performance optimization.

Key Responsibilities

• Design, develop, and maintain scalable **batch and real-time data pipelines** on GCP
• Implement **Medallion Architecture (Bronze, Silver, Gold layers)** for data processing
• Build high-performance data transformations using **Python and PySpark**
• Develop and optimize **complex SQL queries** for analytical workloads
• Work extensively with **BigQuery** for large-scale data processing and performance tuning
• Develop and deploy pipelines using **Cloud Dataflow**
• Orchestrate workflows using **Cloud Composer (Apache Airflow)**
• Manage data storage and lifecycle using **Google Cloud Storage (GCS)**
• Implement **version control and CI/CD pipelines** using Git-based tools
• Ensure **data security, governance, and access control** using GCP IAM
• Optimize data solutions for **performance, scalability, reliability, and cost-efficiency**

Required Skills & Experience

• Strong hands-on experience with **Google Cloud Platform (GCP)**
• Expertise in **BigQuery (partitioning, clustering, query optimization)**
• Proven experience implementing **Medallion Data Architecture**
• Strong programming skills in **Python and PySpark**
• Advanced proficiency in **SQL (complex joins, window functions, performance tuning)**
• Hands-on experience with **Cloud Dataflow**
• Experience with **Clou...