Senior Data Engineer - GCP Data & AI Solutions

Accenture PLC; Irving (TX); On-site; USD 120,000 - 210,000; Full time

Job summary

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics and responsibly scale AI. You will work hands-on in data engineering, analytics, and ML on GCP, supporting delivery teams and client workshops to translate requirements into technical plans.

You will collaborate with senior architects, implement MLOps, and contribute to governance, quality checks, and documentation while staying current with GCP releases and Gemini models.

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 (minimum 12 years) work experience.

Responsibilities

• Hands-On Technical Delivery across data engineering and AI solution delivery.
• Build data pipelines, ETL/ELT processes, and integrations using GCP services (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 and Gemini models.

Skills

SQL

Python

Data Modeling

Cloud Architecture

Client Collaboration

Education

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

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Vertex AI

Job description

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics and responsibly scale AI. You will work hands-on in data engineering, analytics, and ML on GCP, supporting delivery teams and client workshops to translate requirements into technical plans.

You will collaborate with senior architects, implement MLOps, and contribute to governance, quality checks, and documentation while staying current with GCP releases and Gemini models.