Google Cloud Platform Data Engineer

iQuasarAshburn, VA, United States

3 days ago

Job type

Full-time

Job description

Benefits :

Dental insurance
Health insurance
Paid time off

Greetings of the day,

Position : Google Cloud Platform Data Engineer (Mid-Level)

Location : 2-3 days a week on-site at Ashburn, VA

Work Authorization : US Citizen

Start Date : 10 / 01 / 2025 (if cleared before that date)

Required Clearance : DHS / CBP or TS clearance

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 irfana.reshi@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 for technical interview

Updated Resume

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,

Flexible work from home options available.

Compensation : $140,000.00 per year

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Data Platform Engineer • Ashburn, VA, United States

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