Senior GCP Data Engineer — Analytics, AI & Pipelines

Accenture; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Accenture, a premier Google Cloud partner, is hiring a GCP Senior Data Engineer to help modernize data ecosystems, enable real-time analytics, and responsibly scale AI. You will work directly with clients, support senior architects, and contribute to end-to-end delivery—building data pipelines with BigQuery, Dataflow, Looker, Vertex AI, and Gemini models.

This hands-on role emphasizes data quality, performance tuning, and scalable ML pipelines, with opportunities to influence architecture and

Qualifications

• Hands-on data engineering, analytics, or ML on cloud platforms.
• Experience delivering end-to-end data & AI solutions for clients.
• Strong collaboration with architects and delivery teams.

Responsibilities

• Deliver data modernization, analytics, and AI solutions on GCP.
• Build data pipelines (ETL/ELT), data models, and performance tuning in BigQuery.
• Support dashboards using Looker/Looker Studio and ML/AI solution development.
• Develop ML models, ML pipelines, and MLOps processes (monitoring, retraining, deployment).
• Assist in prompt engineering, embeddings, and retrieval tasks.

Skills

Data Engineering

Analytics

Machine Learning

Client-facing

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Looker

Looker Studio

Vertex AI

Gemini Foundation Models

Gemini Enterprise

Model APIs

Embeddings

Job description

Accenture, a premier Google Cloud partner, is hiring a GCP Senior Data Engineer to help modernize data ecosystems, enable real-time analytics, and responsibly scale AI. You will work directly with clients, support senior architects, and contribute to end-to-end delivery—building data pipelines with BigQuery, Dataflow, Looker, Vertex AI, and Gemini models.

This hands-on role emphasizes data quality, performance tuning, and scalable ML pipelines, with opportunities to influence architecture and