Data Architect / Engineer

Position : GCP Data Engineer / Architect

Location : Issaquah WA

Duration : 6+ months

Job Summary :

Data Pipeline Development : Design, build, test, and maintain scalable data pipelines and ETL processes using Python and GCP services (e.g., Dataflow, BigQuery, Pub / Sub).

Data Integration & Modeling : Implement batch and real-time data integration workflows, optimize data models and architecture for performance and storage efficiency.

Collaboration & Support : Work with cross-functional teams to gather data requirements and support data analysts with curated datasets and tools.

System Reliability : Monitor, troubleshoot, and tune data systems for high availability, scalability, and disaster recovery.

DevOps Enablement : Build and manage CI / CD pipelines using GitHub and Terraform; ensure security compliance and operational readiness.

Mandatory Skills & Qualifications

Technical Expertise :

Strong Python programming and Spark experience for data analytics.

Proficient in GCP services : GCS, Dataflow, Cloud Functions, Composer, Scheduler, Datastream, Pub / Sub, BigQuery, Dataproc.

Skilled in Apache Beam for batch and stream processing.

Experience with REST API ingestion, JSON messaging, and scripting (Shell, Perl).

Deep understanding of SQL, cloud-native databases, and data warehousing concepts.

Engineering & Migration :

Proven experience in migrating legacy systems to modern cloud-based architectures.

Familiarity with distributed computing frameworks and large-scale data handling.

DevOps & Security :

CI / CD pipeline development with GitHub and Terraform.

Security integration in deployment workflows.

Soft Skills :

Strong problem-solving and analytical abilities.

Excellent communication and teamwork skills.