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Skills

SQL Tuning
Extract
Transform
Load
Analytics
Cloud Architecture
Cloud Computing
Clustering
Communication
Continuous Delivery
Continuous Integration
Cost Control
Cost Management
Data Flow
Data Governance
Data Modeling
Data Quality
Data Structure
DevOps
ELT
Good Clinical Practice
Google Cloud Platform
HIPAA
HL7
Health Care
IaaS
Optimization
Python
Regulatory Compliance
Scalability
Scripting
Storage
Technical Support
Terraform
Workflow

SQL Tuning
Extract
Transform
Load
Analytics
Cloud Architecture
Cloud Computing
Clustering
Communication
Continuous Delivery
Continuous Integration
Cost Control
Cost Management
Data Flow
Data Governance
Data Modeling
Data Quality
Data Structure
DevOps
ELT
Good Clinical Practice
Google Cloud Platform
HIPAA
HL7
Health Care
IaaS
Optimization
Python
Regulatory Compliance
Scalability
Scripting
Storage
Technical Support
Terraform
Workflow

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10126196
Position Id: 9039400
Posted 1 day ago

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Narinder Singh

Recruiter @ Shimento, Inc.

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

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Narinder Singh

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

Job Details

Skills

Summary

Dice Job Match Score™

Narinder Singh

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