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# GCP Data Engineer/Architect

- **Company:** McClure Engineering Co.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Big Data, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Database, Cluster Analysis, Computer Programming, Continuous Integration, Data Architecture, Data Security, Data Systems, Data Flow Control, Identity and Access Management, Python (Programming Language), Performance Tuning, Query Optimization, SQL Databases, Data Processing, Freeform SQL, Google Cloud, Data Storage Technologies, Git, Pyspark, Software Version Control, Data Pipelines, Apache Beam
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ebb9a8bc7b5038ad

## About the Role

* Strong hands-on experience with Google Cloud Platform (GCP)
 * Expertise in BigQuery (partitioning, clustering, query optimization)
 * Proven experience implementing Medallion Data Architecture
 * Hands- on Experience with Java Development
 * 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 Cloud Composer (Airflow) for orchestration
 * Experience working with Google Cloud Storage (GCS)
 * Knowledge of version control systems (Git) and CI/CD practices
 * Strong understanding of GCP IAM and cloud security best practices

Experience:

 * Google Cloud Platform (GCP): 6 years (Required)
 * Medallion Architecture: 6 years (Required)
 * Apache Beam / Java Development : 5 years (Required)

## Description

* We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.
 * This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices., * Design, develop, and maintain scalable batch and real-time data pipelines on GCP
 * Implement and manage 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


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