GCP Data Engineer
2 weeks ago
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
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.
- 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.
- 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.
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