GCP Data & AI Engineer — BigQuery & Looker Expert

Accenture PLC; Pittsburgh (Allegheny County); On-site; USD 90,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture PLC in the United States is seeking a hands-on Specialist with data engineering, analytics, or ML background who is building expertise in Google Cloud Platform (GCP). You will work directly with clients, support delivery teams, and contribute to end-to-end data and AI projects.

Responsibilities include building data pipelines with BigQuery, Dataflow, Pub/Sub, Dataproc; implementing ML pipelines with Vertex AI and Looker; and collaborating with senior architects to design scalable data

Qualifications

• 2+ years hands-on data engineering, analytics, ML engineering, or equivalent.
• 2+ years practical experience with Google Cloud Platform.
• 2+ years experience with SQL, data modeling, and building data pipelines.
• 2+ years experience with Python or AI or GenAI tools (Vertex AI preferred).
• Bachelor's degree or equivalent, 12 years' work experience if no degree.

Responsibilities

• Hands-On technical delivery across data engineering, analytics, and ML.
• Build data pipelines, ETL/ELT on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage).
• Assist with data modeling, performance tuning, and BigQuery optimization.

Skills

GCP Data Engineering

BigQuery

SQL

Python

Data Modeling

ETL/ELT

Looker Studio

MLOps

CI/CD

Client collaboration

Education

Bachelor's degree or equivalent

Tools

Looker

Vertex AI

Gemini

Dataplex

Dataflow

Pub/Sub

Dataproc

Cloud Storage

Job description

Accenture PLC in the United States is seeking a hands-on Specialist with data engineering, analytics, or ML background who is building expertise in Google Cloud Platform (GCP). You will work directly with clients, support delivery teams, and contribute to end-to-end data and AI projects.

Responsibilities include building data pipelines with BigQuery, Dataflow, Pub/Sub, Dataproc; implementing ML pipelines with Vertex AI and Looker; and collaborating with senior architects to design scalable data