GCP DevOps Engineer

We are seeking an experienced GCP Data Engineer to join our data engineering team onsite in Denver, CO
. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions on Google Cloud Platform (GCP). This role requires strong hands-on experience with GCP native services, data modeling, and large-scale data processing.

• Design, develop, and maintain ETL/ELT data pipelines on GCP
• Build and optimize data solutions using Big Query, Cloud Dataflow, Dataproc, and Cloud Composer
• Develop batch and streaming data pipelines using Apache Beam, Spark, and Pub/Sub
• Implement data ingestion from multiple sources (APIs, databases, flat files, streaming systems)
• Ensure data quality, reliability, performance, and security best practices
• Collaborate with data scientists, analysts, and application teams to support analytics and reporting needs
• Optimize query performance and cost management in Big Query
• Implement CI/CD pipelines and infrastructure automation using Terraform or Deployment Manager
• Monitor and troubleshoot data pipelines in production environments
• Follow data governance, compliance, and security standards

• 6+ years of experience in Data Engineering
• Strong hands-on experience with Google Cloud Platform (GCP)
• Expertise in Big Query, Cloud Storage, Pub/Sub, Dataflow, Dataproc
• Strong programming skills in Python and/or Java
• Experience with Apache Spark, Apache Beam
• Solid understanding of data warehousing, data modeling, and SQL
• Experience with Airflow / Cloud Composer
• Familiarity with CI/CD pipelines and Infrastructure as Code (Terraform)
• Experience working in Agile/Scrum environments

• GCP Professional Data Engineer Certification
• Experience with real-time/streaming data pipelines
• Knowledge of machine learning data pipelines on GCP
• Experience with Looker or other BI tools