Senior GCP Data Engineer — BigQuery & AI Solutions

Accenture PLC; Sacramento (CA); On-site; USD 94,000 - 266,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) plan

Paid holidays

Paid time off

Bonus opportunities

Job summary

Accenture PLC in California is seeking a GCP Senior Data Engineer to deliver data modernization, analytics, and AI solutions on Google Cloud. You will help design architecture, build pipelines and models, and work with clients and senior engineers on end-to-end delivery.

The ideal candidate has 5+ years in data engineering/ML, 4+ years on GCP, and strong SQL and Python skills. Expect collaboration across teams and contributions to governance and AI initiatives.

Qualifications

• 5+ years of hands-on experience in Data Engineering, Analytics, ML Engineering, or related fields.
• 4+ years of practical experience with Google Cloud Platform.
• 5+ years of experience with SQL, data modeling, and building data pipelines.
• 3+ years of experience with Python or AI or GenAI tools (Vertex AI preferred).
• Bachelor's degree or equivalent (minimum 12 years) work experience.

Responsibilities

• Deliver data modernization, analytics, and AI solutions on GCP.
• Support architecture design, build data pipelines and models, perform analysis, and contribute to technical implementations.
• Assist with data ingestion patterns for batch and streaming data sources.
• Develop dashboards and analytics products using Looker Studio.
• Implement ML pipelines and contribute to MLOps processes (monitoring, retraining, deployment).

Skills

SQL

Python

GCP

Data Analytics

ETL/ELT

Education

Bachelor's degree or equivalent

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Vertex AI

Gemini Foundation Models

Job description

Accenture PLC in California is seeking a GCP Senior Data Engineer to deliver data modernization, analytics, and AI solutions on Google Cloud. You will help design architecture, build pipelines and models, and work with clients and senior engineers on end-to-end delivery.

The ideal candidate has 5+ years in data engineering/ML, 4+ years on GCP, and strong SQL and Python skills. Expect collaboration across teams and contributions to governance and AI initiatives.