Job description

Job Title: Senior Data Engineer – Google Cloud Platform Location: Remote (Freeport, ME area preferred) Employment Type: Contract (W2 through ZipStaff — No C2C or 1099) About the Opportunity: ZipStaff is seeking an experienced Data Engineer to implement and support data ingestion and pipeline processes on Google Cloud Platform for a major retail organization. This role focuses on designing, developing, configuring, testing, debugging, and documenting simple to complex data ingestion and pipeline processes based on business requirements and technical architecture specifications. You will also support and troubleshoot existing ingestion and pipeline processes. What You’ll Do: • Implement simple to complex data ingestion and pipeline processes on Google Cloud Platform using industry-standard best practices. • Design, develop, configure, test, debug, and document these processes based on business requirements and technical architecture specifications. • Support and troubleshoot existing ingestion and pipeline processes and related data flows. • Ensure data pipelines are reliable, scalable, and aligned with business and technical standards. • Collaborate with stakeholders to translate requirements into effective data engineering solutions. • Document processes, configurations, and technical details to support ongoing operations and knowledge sharing. Required Qualifications: • 5+ years of experience as a Data Engineer or in a similar role focused on data ingestion, pipelines, and ETL/ELT processes. • Hands-on experience implementing data ingestion and pipeline processes on Google Cloud Platform. • Strong ability to design, develop, configure, test, debug, and document data processes based on business requirements and technical architecture specifications. • Experience supporting and troubleshooting existing data ingestion and pipeline processes. • Familiarity with industry-standard best practices for data engineering on cloud platforms. • Ability to work remotely. Preferred Qualifications: • Prior experience building and maintaining data pipelines in a retail or e-commerce environment. • Background with specific GCP data services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage, or related tools). • Experience with data quality, monitoring, and operational support of production pipelines. • Hands-on work translating technical architecture specifications into production-ready data solutions. Benefits: • Health Insurance • Dental Insurance • Vision Insurance • 401(k) + 401(k) matching • Paid time off • Referral Program About ZipStaff: ZipStaff partners with leading organizations to connect skilled technology professionals with high-impact contract opportunities. We focus on quality matches, clear communication, and long-term success for candidates and clients. To apply, submit your resume highlighting your Google Cloud Platform data engineering experience, data ingestion and pipeline development, troubleshooting, and documentation work. Pure research or junior experience will not be considered. Pay: $36 - $38 per hour

Requirements

Must-haves

Job Title: Senior Data Engineer – Google Cloud Platform
Employment Type: Contract (W2 through ZipStaff — No C2C or 1099)
Implement simple to complex data ingestion and pipeline processes on Google Cloud Platform using industry-standard best practices.
Design, develop, configure, test, debug, and document these processes based on business requirements and technical architecture specifications.
Support and troubleshoot existing ingestion and pipeline processes and related data flows.
Ensure data pipelines are reliable, scalable, and aligned with business and technical standards.
Collaborate with stakeholders to translate requirements into effective data engineering solutions.
Document processes, configurations, and technical details to support ongoing operations and knowledge sharing.
5+ years of experience as a Data Engineer or in a similar role focused on data ingestion, pipelines, and ETL/ELT processes.
Hands-on experience implementing data ingestion and pipeline processes on Google Cloud Platform.
Strong ability to design, develop, configure, test, debug, and document data processes based on business requirements and technical architecture specifications.
Experience supporting and troubleshooting existing data ingestion and pipeline processes.
Familiarity with industry-standard best practices for data engineering on cloud platforms.
Ability to work remotely.

Nice-to-haves

Location: Remote (Freeport, ME area preferred)
Prior experience building and maintaining data pipelines in a retail or e-commerce environment.
Background with specific GCP data services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage, or related tools).
Experience with data quality, monitoring, and operational support of production pipelines.
Hands-on work translating technical architecture specifications into production-ready data solutions.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gcp

Platform: betterteam
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off