Remote Senior Data Engineer — GCP Data Pipelines

ZipStaff Inc.; Freeport (ME); Remote; USD 120,000 - 180,000; Part time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

401(k) + 401(k) matching

Paid time off

Referral Program

Job summary

ZipStaff Inc. is seeking a Senior Data Engineer to implement and support data ingestion and pipeline processes on Google Cloud Platform for a major retail organization.

This contract role emphasizes designing, developing, configuring, testing, debugging, and documenting end-to-end data pipelines and related data flows. You will collaborate with stakeholders to translate requirements into scalable, reliable data solutions, troubleshoot production pipelines, and ensure alignment with architectural

Qualifications

• 5+ years as a Data Engineer or similar role focusing on ingestion and ETL/ELT processes.
• Hands-on experience implementing ingestion and pipelines on Google Cloud Platform.
• Ability to design, develop, configure, test, debug, and document data processes based on requirements.
• Experience supporting and troubleshooting existing data ingestion workflows.
• Familiarity with cloud data engineering best practices.

Responsibilities

• Implement complex data ingestion and pipeline processes on GCP following best practices.
• Design, develop, configure, test, and document data pipelines according to architecture specs.
• Support and troubleshoot existing ingestion processes and data flows.
• Ensure pipelines are reliable, scalable, and align with standards.
• Collaborate with stakeholders to translate requirements into data solutions.
• Document configurations and technical details to support operations.

Skills

5+ yrs exp

GCP data ingests

Data pipeline design

Remote work

Tools

BigQuery

Dataflow

Pub/Sub

Cloud Storage

Job description

ZipStaff Inc. is seeking a Senior Data Engineer to implement and support data ingestion and pipeline processes on Google Cloud Platform for a major retail organization.

This contract role emphasizes designing, developing, configuring, testing, debugging, and documenting end-to-end data pipelines and related data flows. You will collaborate with stakeholders to translate requirements into scalable, reliable data solutions, troubleshoot production pipelines, and ensure alignment with architectural