Google Senior Data Engineer

Accenture; Morristown (NJ); On-site; USD 130,000 - 190,000; Full time

Job summary

Accenture is seeking a GCP Senior Data Engineer in Morristown, NJ to deliver data modernization, analytics, and AI solutions on Google Cloud. You will build data pipelines, model data, and support dashboards under guidance from senior team members.

You will work hands-on with clients, support architecting solutions, and contribute to end-to-end project delivery, leveraging Vertex AI and Gemini models to enable scalable data and AI capabilities.

Qualifications

• Hands-on data engineering experience with data analytics or ML foundations.
• Proactive in applying technical skills to modern data & AI patterns on Google Cloud.
• Comfortable working with clients and supporting senior architects.

Responsibilities

• Hands-on technical delivery building data pipelines and integrations on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage).
• Assist with data modeling, performance tuning, and query optimization in BigQuery.
• Implement data ingestion patterns for batch and streaming sources; support dashboards with Looker/Looker Studio.

Skills

GCP Data Engineering

BigQuery

ETL/ELT pipelines

Data Modeling

ML concepts

Client-facing

Tools

Looker Studio

Vertex AI

Gemini Foundation Models

Job description

We Are

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. As part of Accenture Cloud First and the Accenture Google Business Group (AGBG), we deliver solutions leveraging Google Cloud’s Data & AI platform—including BigQuery, Looker, Vertex AI, Gemini Foundation Models, and Gemini Enterprise.

You Are

A hands‑on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning—now building deep expertise in Google Cloud Platform (GCP). You are eager to apply technical skills, learn advanced Data & AI patterns, and support delivery teams in designing and implementing modern data and AI solutions.

You’re comfortable working directly with clients, supporting senior architects, and contributing to end‑to‑end project execution.

The Work (What You Will Do)

As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and models, perform analysis, and contribute to technical implementations under guidance from senior team members.

1. Hands‑On Technical Delivery

• Build data pipelines, ETL/ELT processes, and integrations using GCP services such as: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage
• Assist with data modeling, performance tuning, and query optimization in BigQuery.
• Implement data ingestion patterns for batch and streaming data sources.
• Support development of dashboards and analytics products using Looker or Looker Studio.

1. Support Agentic AI & ML Solution Development

• Assist in developing ML models and AI solutions using:Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs & Embeddings
• Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment).
• Support prompt engineering, embeddings, and retrieval