GCP Data Engineer

Centrifuge LLC is seeking to fill a Google Cloud Platform Data Engineerfor one of our federal customers. Centrifuge LLC is headquartered in Reston, Virginia. Be a part of an award-winning, small business specializing in IT Consulting. We value our team members and their contributions, and to show our appreciation, we are proud to offer a comprehensive and competitive benefits package to candidates.

• Location: Ashburn, VA
• Job: Google Cloud Platform Data Engineer
• Schedule: Full-time

Job Description

We're looking for a highly skilled Google Cloud Platform (GCP) Data Engineer to design, build, and maintain secure, scalable, and intelligent cloud data infrastructure. You'll be the go-to expert for GCP services, real-time data processing, and integration with AI/ML solutions. If you have deep knowledge of GCP's networking, storage, database, and data engineering capabilities along with Kafka and AI/ML experience, we want to hear from you.

Responsibilities

• Design and implement secure, scalable, and high-performing data pipelines and infrastructure on Google Cloud.
• Manage and optimize real-time streaming platforms such as Apache Kafka, Pub/Sub, and Dataflow.
• Build, manage, and tune diverse GCP database services (Cloud SQL, Cloud Spanner, BigQuery, Bigtable, Firestore, Memorystore) to support transactional and analytical workloads.
• Implement ETL/ELT pipelines for structured, semi-structured, and unstructured data using GCP native and open-source tools.
• Collaborate with data scientists and ML engineers to operationalize AI/ML models on Vertex AI, integrating data pipelines with predictive and generative AI services.
• Oversee identity and access management (IAM) and ensure security compliance.
• Monitor system and pipeline performance, troubleshoot issues, and optimize infrastructure and data costs.
• Manage container orchestration platforms such as Google Kubernetes Engine (GKE) for data workloads.
• Develop and maintain Infrastructure as Code (IaC) with Terraform or Cloud Deployment Manager.
• Collaborate with application and analytics teams to ensure data availability, governance, and reliability.

Required Qualifications:

• Proven experience as a Data Engineer, Cloud Engineer, or Infrastructure Engineer.
• 6+ years of experience with cloud and data technologies, including at least 2 years on GCP.
• Hands-on experience with streaming technologies (Kafka, Pub/Sub) and batch data processing (Dataflow, Dataproc).
• Strong knowledge of multiple database systems (SQL, NoSQL, relational, distributed).
• Experience with BigQuery and data warehouse optimization.
• Exposure to AI/ML pipelines and tools on GCP (Vertex AI, AI Platform, TensorFlow, or PyTorch integration).
• Strong understanding of networking, firewalls, VPNs, and cloud security.
• Solid experience with Infrastructure as Code (Terraform, Deployment Manager).
• Proficiency in scripting (Python, Bash) and CI/CD pipelines (Git, GitLab, Jenkins, or Harness).
• GCP certification (e.g., Professional Data Engineer or Professional Cloud Architect) is a plus.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
• Existing DHS/CBP or TS clearance is a strong plus.

.If you are interested in this position, please send a copy of your latest resume to nashita.wani@iquasar.com with the information requested below. Also, let us know the best time and number to call to discuss this opportunity. In case this position is not the right fit for you, feel free to share this opportunity with your network. Thank you!

• Availability to start a new job
• Best rates
• Contact number

Please don't hesitate to reach out with any questions. All employment decisions are based on qualifications, merit, and business needs.

Regards,

Nashita Wani

iQuasar, LLC

Cleared Recruitment | Proposal Development | Technology

nashita.wani@iQuasar.com

Direct: (703) 936-0023

Main: (703) 962-6001 Ext. 579

www.iQuasar.com

iQuasar, LLC is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion/belief, national, social, or ethnic origin, disability, gender/gender identity, marital/partnership status, pregnancy, medical history or genetic information, family or parental status, or any other status protected by federal and state regulations.