Senior GCP Data Engineer: Real-Time Analytics & AI

Accenture; Walnut Creek (CA); On-site; USD 94,000 - 266,000; Full time

Job summary

Accenture in California seeks a hands-on GCP Senior Data Engineer to deliver data modernization, analytics, and AI solutions on Google Cloud. You will design architectures, build pipelines and models, perform analysis, and contribute to implementations under guidance from senior team members.

You will work with BigQuery, Dataflow, Looker Studio, Vertex AI, and Gemini models, support data governance and security, and collaborate with clients and analytics teams to translate requirements into

Qualifications

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Responsibilities

• 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.
• 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-augmented generation (RAG) experimentation.
• Contribute to model testing, validation, and documentation.
• Participate in client workshops to understand data needs, use cases, and technical requirements.
• Help translate functional requirements into technical tasks and implementation plans.
• Communicate progress, blockers, and insights to project leads and client stakeholders.
• Implement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex, IAM).
• Follow best practices for security, identity management, and compliance.
• Support operational processes for data validation, testing, and monitoring.
• Learn and apply GCP Data & AI best practices across architectural patterns, engineering standards, and AI frameworks.
• Collaborate closely with senior data engineers, ML engineers, and architects.
• Contribute to internal accelerators, documentation, and reusable components.
• Stay current with GCP releases, Gemini model updates, and modern engineering practices.

Skills

Data Engineering

Data Analytics

ML Engineering

Google Cloud Platform

SQL

Python

Education

Bachelor’s degree or equivalent

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Vertex AI

Gemini Foundation Models

Gemini Enterprise

Model APIs

Embeddings

CI/CD

Git

Looker Studio

Job description

Accenture in California seeks a hands-on GCP Senior Data Engineer to deliver data modernization, analytics, and AI solutions on Google Cloud. You will design architectures, build pipelines and models, perform analysis, and contribute to implementations under guidance from senior team members.

You will work with BigQuery, Dataflow, Looker Studio, Vertex AI, and Gemini models, support data governance and security, and collaborate with clients and analytics teams to translate requirements into