Senior Data Engineer, Google Cloud AI & Data Solutions

Accenture PLC; Beaverton (OR); On-site; USD 90,000 - 180,000; Full time

Job summary

Accenture is seeking a hands-on Data/AI Engineer with strong experience in Google Cloud Platform to deliver modern data and AI solutions for clients. You will design data pipelines, implement ETL/ELT patterns, and support dashboards and analytics products using Looker Studio.

Collaboration with senior architects and client teams is essential. The role requires expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Gemini models, with a focus on data governance, quality, and security.

Qualifications

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

Responsibilities

• Hands-On Technical Delivery of data/AI solutions.
• Build data pipelines and ETL/ELT processes using GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage).
• Assist with data modeling, performance tuning, and query optimization in BigQuery.

Skills

Data engineering

GCP BigQuery

Looker

SQL

Python

ML/AI

MLOps

Embeddings

RAG

CI/CD

Education

Bachelor's degree or equivalent

Tools

Vertex AI

Gemini

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Looker Studio

Git

Job description

Accenture is seeking a hands-on Data/AI Engineer with strong experience in Google Cloud Platform to deliver modern data and AI solutions for clients. You will design data pipelines, implement ETL/ELT patterns, and support dashboards and analytics products using Looker Studio.

Collaboration with senior architects and client teams is essential. The role requires expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Gemini models, with a focus on data governance, quality, and security.