Senior Data Engineer, GCP & AI Platform Expert

Accenture PLC; Hartford (CT); On-site; USD 94,000 - 230,000; Full time

Job summary

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems and scale AI. This Hartford-based role focuses on hands-on data engineering, analytics, and ML engineering using Google Cloud Platform services such as BigQuery, Dataflow, and Vertex AI.

You will work directly with clients, supporting senior architects and delivery teams to design and implement end-to-end data and AI solutions, including data pipelines, governance, and MLOps best practices.

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 (12 years).

Responsibilities

• Hands‑On Technical Delivery for client projects.
• Build data pipelines, ETL/ELT processes, and integrations using GCP services.
• Assist with data modeling, performance tuning, and query optimization in BigQuery.
• Implement data ingestion patterns for batch and streaming data.
• Support dashboards and analytics products using Looker Looker Studio.
• Develop ML models and AI solutions using Vertex AI and Gemini models.
• Implement ML pipelines and MLOps processes (monitoring, retraining, deployment).
• Collaborate with clients to translate requirements into technical tasks.

Skills

Data engineering

SQL

Python

Cloud fundamentals

GCP

Education

Bachelor’s degree or equivalent

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Looker

Vertex AI

Gemini Foundation Models

Gemini Enterprise

Job description

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems and scale AI. This Hartford-based role focuses on hands-on data engineering, analytics, and ML engineering using Google Cloud Platform services such as BigQuery, Dataflow, and Vertex AI.

You will work directly with clients, supporting senior architects and delivery teams to design and implement end-to-end data and AI solutions, including data pipelines, governance, and MLOps best practices.