Senior GCP Data Engineer for AI-Driven Analytics

Accenture; Mountain View (CA); On-site; USD 94,000 - 266,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture seeks a GCP Senior Data Engineer to deliver data modernization, analytics, and AI solutions on Google Cloud Platform. You will work with senior architects to design data pipelines and models, perform analysis, and contribute to technical implementations.

You will engage in ML model development, MLOps processes, and prompt engineering while collaborating with delivery teams and clients. Travel may be required.

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/GenAI tools (Vertex AI preferred).
• Bachelor's degree or equivalent work experience (minimum 12 years).

Responsibilities

• Deliver data modernization, analytics, and AI solutions on GCP.
• Support architecture design and data pipelines under guidance from senior team members.
• Participate in client workshops and translate requirements into technical tasks.
• Implement metadata management, data quality checks, and lineage tracking using GCP tools.
• Learn and apply GCP Data & AI best practices and contribute to accelerators and documentation.

Skills

Data engineering

Analytics

ML engineering

Python

Education

Bachelor's degree or equivalent

Associate’s Degree with 6 years experience

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Job description

Accenture seeks a GCP Senior Data Engineer to deliver data modernization, analytics, and AI solutions on Google Cloud Platform. You will work with senior architects to design data pipelines and models, perform analysis, and contribute to technical implementations.

You will engage in ML model development, MLOps processes, and prompt engineering while collaborating with delivery teams and clients. Travel may be required.