Senior Data Engineer – Cloud Data & AI Solutions

Accenture PLC; Chicago (IL); On-site; USD 87,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Paid holidays & PTO

Job summary

Accenture is seeking a hands-on Data/AI Engineer to advance data ecosystems and analytics using Google Cloud Platform. You will work directly with clients, support senior architects, and contribute to end-to-end project execution across data pipelines, ML models, and analytics dashboards.

This role emphasizes collaboration with data engineers, ML engineers, and architects, with opportunities to contribute to accelerators, governance, and best practices in a fast-paced environment.

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.

Responsibilities

• Hands-On Technical Delivery.
• 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 Foundation Models, Gemini Enterprise, Model APIs & Embeddings.
• Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment).
• Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation.
• Contribute to model testing, validation, and documentation.
• Requirements Gathering & Client Collaboration
• Participate in client workshops to understand data needs, use cases, and technical requirements.
• Help translate functional requirements into technical tasks and implementation plans.
• Communicate progress, blockers, and insights to project leads and client stakeholders.
• Data Governance, Quality & Security Support
• Implement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex, IAM).
• Follow best practices for security, identity management, and compliance.
• Support operational processes for data validation, testing, and monitoring.
• Continuous Learning & Team Support
• Learn and apply GCP Data & AI best practices across architectural patterns, engineering standards, and AI frameworks.
• Collaborate closely with senior data engineers, ML engineers, and architects.
• Contribute to internal accelerators, documentation, and reusable components.
• Stay current with GCP releases, Gemini model updates, and modern engineering practices.

Skills

Data Engineering

Data Analytics

ML Engineering

GCP

Education

Bachelor’s degree

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Job description

Accenture is seeking a hands-on Data/AI Engineer to advance data ecosystems and analytics using Google Cloud Platform. You will work directly with clients, support senior architects, and contribute to end-to-end project execution across data pipelines, ML models, and analytics dashboards.

This role emphasizes collaboration with data engineers, ML engineers, and architects, with opportunities to contribute to accelerators, governance, and best practices in a fast-paced environment.