GCP Data Engineer

HMG AMERICA LLC; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

HMG AMERICA LLC in Seattle is seeking an experienced GCP Data Engineer to design and develop scalable data solutions on Google Cloud Platform, with emphasis on Cloud Spanner and graph databases. This on-site role requires local candidates.

You will build ETL/ELT pipelines, model data, and ensure data quality, governance and performance. The position can be contract or full-time, based in Seattle or Atlanta depending on project needs.

Qualifications

• Experience designing scalable data solutions on Google Cloud Platform (GCP).
• Strong knowledge of Google Cloud Spanner and graph databases.
• Proficiency with SQL and data pipeline development.
• Experience with ETL/ELT processes and data modeling.
• Ability to work on-site in Seattle or Atlanta and collaborate with teams.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions on Google Cloud Platform (GCP).
• Build and optimize data pipelines for high-volume and complex datasets.
• Develop data solutions using Google Cloud Spanner.
• Work with graph databases, including data modeling, querying, and optimization.
• Design efficient data models and database schemas based on application and business requirements.
• Develop ETL/ELT processes and data integration workflows.
• Optimize data pipelines and database performance for scalability and reliability.
• Collaborate with data architects, software engineers, and other technical teams.
• Implement data quality, governance, security, and monitoring best practices.
• Troubleshoot data pipeline and database issues in production environments.
• Participate in architecture and technical design discussions.

Skills

GCP

Cloud Spanner

Graph databases

SQL

ETL/ELT pipelines

Data modeling

Distributed data systems

Cloud architecture

Communication

Tools

Neo4j

Job description

Work Arrangement: On-site – Local candidates only

Employment Type: Contract or Full-Time

About the Role

We are looking for experienced GCP Data Engineers to join our team in Atlanta or Seattle. The ideal candidate will have strong hands‑on experience designing and developing scalable data solutions on Google Cloud Platform, with particular expertise in Cloud Spanner and graph database technologies.

This is an on‑site position, and candidates must be local to the Atlanta or Seattle area and able to work on‑site.

Key Responsibilities

• Design, develop, and maintain scalable data engineering solutions on Google Cloud Platform (GCP).
• Build and optimize data pipelines for high-volume and complex datasets.
• Develop data solutions using Google Cloud Spanner.
• Work with graph databases, including data modeling, querying, and optimization.
• Design efficient data models and database schemas based on application and business requirements.
• Develop ETL/ELT processes and data integration workflows.
• Optimize data pipelines and database performance for scalability and reliability.
• Collaborate with data architects, software engineers, and other technical teams.
• Implement data quality, governance, security, and monitoring best practices.
• Troubleshoot data pipeline and database issues in production environments.
• Participate in architecture and technical design discussions.

Required Skills

• Strong hands‑on experience with Google Cloud Platform (GCP).
• Strong experience with Cloud Spanner.
• Hands‑on experience with graph databases and graph data modeling.
• Strong SQL and database development skills.
• Experience building enterprise‑scale ETL/ELT data pipelines.
• Experience with data modeling and database design.
• Strong understanding of distributed data systems and cloud architecture.
• Experience with cloud‑native data engineering technologies.
• Strong problem‑solving and communication skills.

Preferred Skills

• Experience with GCP data services such as BigQuery, Dataflow, Pub/Sub, Dataproc, or Composer.
• Experience with graph technologies such as Neo4j or similar platforms.
• Experience with Python, Java, or Scala.
• Experience with CI/CD and DevOps practices.
• Experience working in large‑scale enterprise environments.