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 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

Preferred Qualifications

Experience working with large-scale enterprise data platforms
Knowledge of data warehousing and data lake concepts
Familiarity with real-time streaming frameworks
Experience in data governance and data quality frameworks
Exposure to Agile/Scrum methodologies

Pay: $65.00 - $70.00 per hour

Work Location: Remote

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Data Engineer – GCP