Google Cloud Platform Data Engineer (Big Query / Data Pipelines)

Job Title: Data Engineer (BigQuery / Data Pipelines)
Google Cloud Platform Platform

Location: Remote/Denver

Duration: 6 Months

Experience: 6-7Years

Role Overview

We are looking for a strong Data Engineer with a solid engineering foundation and handson experience in building data pipelines, optimizing BigQuery environments, and setting up scalable cloud data infrastructure. The consultant will support a healthcare client in modernizing and optimizing their data ecosystem for performance, reliability, and cost efficiency.

Key Responsibilities

• Design, build, and maintain endtoend data pipelines using BigQuery and cloud-native tools.
• Set up and optimize data infrastructure, ensuring scalability, reliability, and security.
• Implement data quality, validation, and monitoring frameworks.
• Work closely with analytics, product, and engineering teams to support data-driven initiatives.
• Optimize BigQuery queries, storage, partitioning, clustering, and cost management.
• Develop reusable components, automation scripts, and CI/CD workflows for data operations.
• Troubleshoot pipeline issues and ensure smooth data flow across systems.
• Support healthcare-specific compliance and data governance requirements.

Required Skills

• 6-7 of hands-on experience as a Data Engineer.
• Strong experience in cloud.
• Strong engineering fundamentals (data structures, distributed systems, cloud architecture).
• Expertise in BigQuery, SQL performance tuning, and data modeling.
• Experience building ETL/ELT pipelines using Python, Airflow, or similar tools.
• Solid understanding of cloud infrastructure (Google Cloud Platform preferred).
• Experience with data optimization, partitioning, clustering, and cost control.
• Familiarity with healthcare data standards (HIPAA, PHI handling) is a plus.
• Strong communication skills and ability to work independently in a remote setup.

Nice-to-Have Skills

• Experience with Terraform, CI/CD pipelines, or DevOps practices.
• Exposure to FHIR, HL7, or other healthcare data formats.
• Knowledge of Looker, dbt, or other analytics engineering tools.