Senior Data Engineer, Cloud & AI Platform

Accenture PLC; Cincinnati (OH); On-site; USD 87,000 - 213,000; Full time

Benefits offered by this job

401(k) plan

Medical, dental, vision

Paid holidays

Paid time off

Job summary

Accenture PLC is seeking a hands-on Data/ML Engineer to deliver end-to-end data and AI solutions on Google Cloud. You will work with senior architects and clients to design pipelines, data models, and analytics products using BigQuery, Dataflow, Vertex AI, and Looker.

The role involves collaborating across data governance, security, and MLOps practices, mentoring teammates, and staying current with GCP releases and Gemini models. Travel may be required to meet client needs.

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); if Associate’s, minimum 6 years work experience.

Responsibilities

• Hands-on technical delivery of data and AI projects.
• Build data pipelines, ETL/ELT processes, and integrations in GCP (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 sources.
• Support development of dashboards and analytics products using Looker/Looker Studio.
• Assist in ML model and AI solution development using Vertex AI and Gemini models.

Skills

Data Engineering

Data Analytics

ML Engineering

Python

SQL

GCP

Education

Bachelor’s degree or equivalent experience

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Vertex AI

Job description

Accenture PLC is seeking a hands-on Data/ML Engineer to deliver end-to-end data and AI solutions on Google Cloud. You will work with senior architects and clients to design pipelines, data models, and analytics products using BigQuery, Dataflow, Vertex AI, and Looker.

The role involves collaborating across data governance, security, and MLOps practices, mentoring teammates, and staying current with GCP releases and Gemini models. Travel may be required to meet client needs.