Data Engineer (GCP Cloud)

Data Engineer (GCP Cloud) – 100% Onsite

Location : Santa Clara, CA

Job Type : Contract (6+ Months)

Schedule : 100% Onsite (No Remote / Hybrid)

About the Role

We are seeking a highly skilled Data Engineer with strong expertise in Google Cloud Platform (GCP) to join our team in Santa Clara, CA. This role requires designing and building scalable data solutions that support business intelligence, analytics, and machine learning initiatives.

This is a fully onsite position—ideal for someone who thrives in a fast-paced environment and can work independently while driving end-to-end project delivery.

Key Responsibilities

Design, implement, and optimize analytical datasets for large-scale reporting and data science use cases.

Build and maintain scalable, high-performance data pipelines for BI, analytics, and ML workloads.

Develop solutions for batch processing and real-time / streaming analytics.

Collaborate with cross-functional teams to gather requirements and deliver business-focused data solutions.

Required Skills & Experience

GCP Expertise (Mandatory)

BigQuery (expert-level) : ingestion, performance tuning, data modeling in large-scale environments.

Experience with Cloud Storage, Dataflow / Beam, Pub / Sub, or related GCP services.

Programming :

Expert-level Python with experience using data engineering libraries.

Advanced SQL for complex querying and performance optimization.

Pipeline Orchestration :

Experience with tools such as Airflow, Cloud Composer, Dagster, etc.

CI / CD & DevOps :

Hands-on experience with Git and exposure to CI / CD tools (GitHub Actions, GitLab, etc.).

What We’re Looking For

A self-driven engineer who can work autonomously and solve complex data engineering challenges.

Someone comfortable working onsite in a highly collaborative environment.