Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
frameworks
Exposure to data visualization tools
Looker
Tableau
Power BI
CI/CD pipelines
DevOps
data cataloging
metadata
Job Details
Position Title: Google Cloud Platform Data Engineer
Location: Richmond, VA (hybrid 2-3x/week onsite)
Contract Type: Long-term Contract
Overview:
We are looking for a skilled Google Cloud Platform Data Engineer to support a strategic cloud migration and data modernization initiative. The ideal candidate will have hands-on experience with Google Cloud Platform (Google Cloud Platform) services, as well as exposure to Azure and Snowflake, as the organization transitions from a hybrid cloud environment to a Google Cloud Platform-first architecture.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines on Google Cloud Platform.
- Work with tools such as Dataproc, BigQuery, and Dataflow.
- Integrate data from Snowflake and Azure environments.
- Develop and manage APIs (e.g., FastAPI, Apigee) for data access and services.
- Collaborate with cross-functional teams to support data engineering needs.
- Ensure data quality, security, and performance across platforms.
Required Skills & Experience:
- Strong hands-on experience with Google Cloud Platform (BigQuery, Dataproc, Dataflow).
- Proficiency in Python and SQL.
- Experience with Snowflake and Azure data services.
- Familiarity with API development and integration.
- Strong understanding of data architecture and cloud migration strategies.
Preferred Qualifications:
- Experience in healthcare or enterprise data environments.
- Exposure to hybrid cloud environments and data governance best practices.
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.