Google Cloud Data Engineer

Job Description:

• Client is seeking a talented Data Engineer to join client's team on a contract-to-hire basis.
• This role is split between strategic data architecture responsibilities and hands-on data engineering tasks, including building and managing ETL pipelines.
• The ideal candidate will possess strong Google Cloud skills, with additional experience in AWS, Snowflake, or Microsoft platforms considered a plus.

Key Responsibilities:
Data Architecture:

• Design and implement data architecture solutions, ensuring scalability, security, and efficiency.

Data Engineering:

• Build and maintain ETL pipelines, perform data integration using REST APIs, and work with SQL to manipulate and query data.

Required Skills:
Google Cloud Platform (Google Cloud Platform):

• Proven experience working with Google Cloud as a primary platform.

Additional Platforms:

• Experience with AWS, Snowflake, or Microsoft platforms is advantageous.

ETL and SQL:

• Hands-on experience with ETL pipeline development and SQL.

APIs:

• Experience integrating systems using REST APIs.

Flexibility:

• Ability to adapt to different time zones and collaborate with international teams.

Pay Range: $70 - $75 Hourly

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.