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Google Cloud Platform Data Engineer

Danbury, CT
Full-time
Posted 3/3/2026
Verified Source
Key Skills:
Google Cloud Platform
API design and deployment
Data engineering and ETL workflows

Compensation

Salary Range

$Not specified

Responsibilities

Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.

Requirements

10 years experience with Google Cloud Platform, API frameworks, and certifications.

Full Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, ISite Technologies Inc, is seeking the following. Apply via Dice today! Job Role: Google Cloud Platform Data Engineer Job Location: Danbury, CT Experience: 10years "NOTE" : Google Cloud Platform certification mandatory Job Description: • Designing or building REST/GraphQL APIs • Working with API frameworks (FastAPI, Flask, Express, Spring Boot) • API Gateway configuration, rate limiting, or traffic management • Authentication/authorization implementation (OAuth 2.0, JWT) • API documentation (Swagger/OpenAPI) • Container-based API deployment (Cloud Run, GKE, Docker) • API testing (Postman, Newman, contract testing) • Microservices design patterns • Design, build, and maintain scalable data pipelines using Cloud Dataflow, Apache Beam, Apache Spark, or BigQuery. • Develop ETL/ELT workflows for data ingestion, transformation, and processing using Cloud Composer (Airflow), TIDAL, Dataform, or custom scripts. • Optimize BigQuery performance through partitioning, clustering, and query tuning. • Work with Cloud Storage, Pub/Sub,Ni-Fi, Cloud SQL and Bigtable for real-time and batch data processing. • Monitor and troubleshoot data pipeline performance, failures, and cost efficiency. • Strong expertise in Google Cloud Platform services (BigQuery, Dataflow, Cloud Storage, Pub/Sub, Bigtable, Firestore, etc.). • Proficiency in SQL, Python, and Java for data processing and automation. • Experience with ETL/ELT workflows using Cloud Composer, Dataflow, or Dataform. • Strong understanding of data modeling, warehousing, and distributed computing. • Experience with real-time and batch processing architectures. • Understanding of security and compliance standards (IAM, encryption, GDPR, HIPAA, etc.). Strong API Skills: • Strong Core Java & Spring Boot • APIGEE & Security patterns • Swagger Designing • Microservice Architecture and Patterns • Google Cloud Platform certifications (e.g., Professional Data Engineer, Associate Cloud Engineer).

This job posting was last updated on 3/4/2026

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