Data Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
50% Travel

Skills

Data Engineering
Data Flow
Data Processing
Dashboard
Apache Airflow
Apache Spark
Apache Kafka
Business Intelligence
Google Cloud Platform
Jenkins
Kubernetes
Machine Learning (ML)
SQL
Scala
Python
Java

Job Details

Job Description: Certified Google Cloud Platform Data Engineer
Location: Jersey City, NJ (Day 1 Onsite Hybrid: 3 days in office, 2 days WFH)
Employment Type: Contract (W2 Only)
Duration: 12+ Months

Position Overview

We are looking for a Google Cloud Platform Data Engineer with deep expertise in Google Cloud Platform (Google Cloud Platform) to design, build, and optimize scalable data solutions. The ideal candidate will have hands-on experience with Google Cloud Platform services (Cloud Functions, GKE, BigQuery, Cloud SQL, IAM, Looker, GCS, Firebase) and hold a Google Cloud Platform certification (Professional Data Engineer or Cloud Engineer).

Key Responsibilities

  • Design, develop, and deploy data pipelines and cloud-native applications using Google Cloud Platform services (BigQuery, Cloud Functions, Dataflow, Pub/Sub, etc.).
  • Manage and optimize GKE (Google Kubernetes Engine) for containerized data workloads.
  • Implement data storage solutions using Cloud SQL, BigQuery, Firestore, and Google Cloud Storage (GCS).
  • Configure IAM policies, security controls, and access management in Google Cloud Platform.
  • Develop dashboards and analytics using Looker for business intelligence.
  • Automate workflows using Cloud Composer (Apache Airflow) and CI/CD pipelines (Cloud Build, Jenkins).
  • Collaborate with cross-functional teams to ensure scalable, secure, and high-performance data architectures.
  • Troubleshoot and optimize Google Cloud Platform services for cost, performance, and reliability.
  • Mentor junior engineers and lead best practices in Google Cloud Platform data engineering.

Required Skills & Experience

  • 12+ years in IT, with 5+ years of hands-on Google Cloud Platform experience.
  • Must be Google Cloud Platform certified (Professional Data Engineer or Cloud Engineer).
  • Strong expertise in Google Cloud Platform services:
    • Data & Analytics: BigQuery, Dataflow, Dataproc, Pub/Sub
    • Compute & Containers: Cloud Functions, GKE, App Engine
    • Storage & Databases: Cloud SQL, Firestore, GCS
    • Security & IAM: Identity & Access Management, VPC, Data Encryption
    • BI & Visualization: Looker, Data Studio
  • Proficiency in Python, Java, or Scala for data processing.
  • Experience with real-time streaming (Pub/Sub, Apache Kafka) and batch processing (Dataflow, Spark).
  • Knowledge of Infrastructure as Code (Terraform, Deployment Manager).
  • Strong understanding of DevOps practices (CI/CD, GitOps, Monitoring/Logging).

Preferred Qualifications

  • Experience with Firebase (Firestore, Realtime DB, Auth).
  • Knowledge of machine learning pipelines (Vertex AI, AutoML).
  • Familiarity with multi-cloud or hybrid cloud architectures.

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.