Senior Data Engineer - GCP, AI & Analytics

Accenture; City of Albany (NY); On-site; USD 87,000 - 266,000; Full time

Job summary

Accenture, a premier Google Cloud partner, is hiring a hands-on Data & AI Engineer to build data pipelines and ML solutions on Google Cloud. You will collaborate with senior architects and delivery teams to design and implement modern data and AI solutions, support client workshops, and ensure data governance and security practices.

You will work with clients directly, contribute to end-to-end project execution, and stay current with GCP releases and AI framework updates. Travel may be required.

Qualifications

• Minimum 5 years hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.
• Minimum 4 years practical experience with Google Cloud Platform.
• Minimum 5 years experience with SQL, data modeling, and building data pipelines.
• Bachelor's degree or equivalent work experience (minimum 12 years).

Responsibilities

• Hands-On Technical Delivery across data engineering and ML initiatives.
• 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.
• Support development of dashboards and analytics using Looker or Looker Studio.
• Develop ML models and AI solutions using Vertex AI and Gemini models; support MLOps processes.

Skills

Data Engineering

Data Analytics

ML Engineering

SQL

Python

Client collaboration

Education

Bachelor's degree or equivalent

Tools

BigQuery

Dataflow

Dataproc

Looker

Vertex AI

Job description

Accenture, a premier Google Cloud partner, is hiring a hands-on Data & AI Engineer to build data pipelines and ML solutions on Google Cloud. You will collaborate with senior architects and delivery teams to design and implement modern data and AI solutions, support client workshops, and ensure data governance and security practices.

You will work with clients directly, contribute to end-to-end project execution, and stay current with GCP releases and AI framework updates. Travel may be required.