Senior Data Engineer – GCP Data & AI Solutions

Accenture; Austin (TX); On-site; USD 94,000 - 266,000; Full time

Job summary

Accenture is seeking a GCP Senior Data Engineer to deliver data modernization, analytics, and AI solutions on Google Cloud. You will help design architectures, build data pipelines, model data, and contribute to ML/AI initiatives under guidance from senior engineers.

You will collaborate with client teams, support architecture design, and contribute to end-to-end project delivery, including data governance and security practices. Travel may be required.

Qualifications

• 5+ years of 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 of Python or AI/GenAI tools (Vertex AI preferred).
• Bachelor's degree or equivalent.

Responsibilities

• 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.
• Assist in developing ML models and AI solutions using Vertex AI, Gemini models, embeddings, or RAG patterns.

Skills

Hands-on data engineering

SQL

Python

Education

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

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Looker

Vertex AI

Gemini Foundation Models

Gemini Enterprise

Model APIs & Embeddings

Job description

Accenture is seeking a GCP Senior Data Engineer to deliver data modernization, analytics, and AI solutions on Google Cloud. You will help design architectures, build data pipelines, model data, and contribute to ML/AI initiatives under guidance from senior engineers.

You will collaborate with client teams, support architecture design, and contribute to end-to-end project delivery, including data governance and security practices. Travel may be required.