GCP Data & AI Specialist

Accenture; San Diego (CA); On-site; USD 70,000 - 196,000; Full time

Benefits offered by this job

Medical insurance

Dental plan

Vision care

Life insurance

Long-term disability

401(k)

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture in California is seeking a GCP Data Specialist to help deliver data modernization, analytics, and AI solutions on Google Cloud Platform. You will support architecture design, build data pipelines and models, and contribute to technical implementations under guidance from senior team members.

Travel may be required. You will work closely with data engineers, ML engineers, and architects, participate in client workshops, and help translate requirements into technical tasks while learning

Qualifications

• Minimum of 2 years hands-on experience in Data Engineering, Analytics, ML Engineering, or related fields.
• Minimum of 2 years practical experience with Google Cloud Platform.
• Minimum of 2 years experience with SQL, data modeling, and building data pipelines.
• Minimum of 2 years experience with Python or AI or GenAI tools (Vertex AI preferred).
• Bachelor's degree or equivalent (minimum 12 years' work experience).

Responsibilities

• 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.

Skills

Data engineering

Data analytics

ML engineering

Python/AI tools

Education

Bachelor's degree or equivalent (minimum 12 years' work experience)

Tools

Vertex AI

Gemini Foundation Models

Gemini Enterprise

Git

Looker

Job description

Accenture in California is seeking a GCP Data Specialist to help deliver data modernization, analytics, and AI solutions on Google Cloud Platform. You will support architecture design, build data pipelines and models, and contribute to technical implementations under guidance from senior team members.

Travel may be required. You will work closely with data engineers, ML engineers, and architects, participate in client workshops, and help translate requirements into technical tasks while learning