Overview
Hybrid
$100,000 - $120,000
Full Time
Skills
Analytical Skill
Analytics
Apache Kafka
Artificial Intelligence
Bash
Cloud Computing
Cloud Security
Collaboration
Computer Networking
Continuous Delivery
Continuous Integration
Data Engineering
Data Flow
Data Processing
Data Warehouse
Database
ELT
Extract
Transform
Load
Firewall
Generative Artificial Intelligence (AI)
Git
GitLab
Good Clinical Practice
Google Cloud
Google Cloud Platform
Identity Management
Jenkins
Kubernetes
Machine Learning (ML)
Management
NoSQL
Open Source
Optimization
Orchestration
PyTorch
Python
Real-time
Regulatory Compliance
SQL
Scripting
Security Clearance
Storage
Streaming
TensorFlow
Terraform
Unstructured Data
Vertex
Virtual Private Network
Job Details
Job Title: Google Cloud Platform Data Engineer (Mid-Level)
Location: 2-3 days a week at Ashburn, VA
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 (Google Cloud Platform) Data Engineer to design, build, and maintain secure, scalable, and intelligent cloud data infrastructure. You ll be the go-to expert for Google Cloud Platform services, real-time data processing, and integration with AI/ML solutions. If you have deep knowledge of Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform.
- 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 Google Cloud Platform (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).
- Google Cloud Platform 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.