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Google Cloud Platform Data Engineer

Salary undisclosed

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#W2 Requirement

Job Description:
Our major healthcare client based in Pittsburgh is seeking a well qualified Data Engineer to work a 100% remote, 6+ month contract position.


Candidates are required to promptly take a video-recorded assessment prior to being submitted to our client.

The incumbent is responsible for the definition, development, and implementation of new systems, and major enhancements to existing systems, as well as production support for systems with high complexity. The incumbent is capable of providing project leadership for major feasibility or business systems analysis studies.
Required Qualifications:
Bachelor s Degree or additional years of experience
Must have 5-7+ years of experience
Experience with data engineering tools and technologies, such as Apache Spark, Hadoop, and Hive
Experience with cloud computing platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (Google Cloud Platform)
Experience with Hadoop and Hive.
Experience with Spark and PySpark.
Familiarity with cloud computing concepts, such as virtual machines, storage, and networking
Experience with cloud-based data engineering tools and services
Experience with Google Cloud Platform (Google Cloud Platform)
Familiarity with Google Cloud Platform services, such as Google Cloud Storage, Cloud Functions, Pub/Sub, Cloud Scheduler, Cloud Run, BigQuery, and Cloud SQL
Experience with Google Cloud Platform APIs and SDKs
Familiarity with data modeling and database design
Strong SQL skills
Strong problem-solving and analytical skills
Excellent communication and teamwork skills
Top 3 Required Skills:
Knowledge of the Google Cloud Platform environment
Terraform development
Database modeling
Preferred Qualifications:
Experience writing Python scripts for data engineering tasks
Familiarity with Python libraries for data manipulation and analysis, such as NumPy, Pandas, and SciPy
Healthcare or insurance background preferred
Experience Hadoop and Hive

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.
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