Senior Data & AI Engineer

Quadrant Resource LLC; Redmond (WA); On-site; USD 140,000 - 200,000; Full time

Job summary

Quadrant Resource LLC is seeking two Senior Data & AI Engineers for a long-term contract in the United States. The role focuses on data engineering, AI/ML, and GenAI within retail use cases, leveraging GCP to design, build, and deploy scalable data platforms and analytics solutions.

You will collaborate with business and technical teams to translate requirements into production-ready solutions, ensure data quality and governance, and contribute to architecture and deployment across data

Qualifications

• Extensive experience in building data and AI solutions.
• Hands-on with Google Cloud Platform (GCP).
• Deep knowledge of data pipelines, ETL/ELT, warehousing, and modeling.

Responsibilities

• Design and develop data and AI solutions on GCP.
• Build scalable data pipelines and analytics platforms.
• Develop and integrate AI/ML and GenAI into retail use cases.

Skills

Data Engineering

AI/ML

Python

SQL

ETL/ELT

Data Warehousing

Data Modeling

Retail domain knowledge

Cloud Architecture

Stakeholder management

Tools

GCP

BigQuery

Dataflow

Dataproc

Cloud Storage

Pub/Sub

Vertex AI

Job description

Job Description – Senior Data & AI Engineer

Duration: Long term contract

Note: Visa independent candidates only

Position Overview

We are looking for two experienced Data & AI Engineers with strong expertise in data engineering, AI/ML, GCP Cloud, and retail. The ideal candidates will have hands-on experience designing and implementing data and AI solutions in retail environments, with the ability to work closely with business and technical teams to deliver solutions within a short-term engagement.

Key Responsibilities

• Design and develop data and AI solutions leveraging Google Cloud Platform (GCP).
• Build and optimize scalable data pipelines, data platforms, and analytics solutions.
• Develop and integrate AI/ML and GenAI solutions into business and retail use cases.
• Work with large-scale retail datasets to identify insights and support business decision‑making.
• Collaborate with data scientists, engineers, architects, and business stakeholders to translate requirements into technical solutions.
• Develop solutions using cloud-native GCP services and modern data engineering technologies.
• Ensure data quality, security, governance, scalability, and performance across data and AI workloads.
• Contribute to architecture, technical design, development, testing, and deployment.
• Understand retail business processes, customer behavior, merchandising, inventory, supply chain, or related retail data domains.

Required Skills

• Strong Data Engineering and AI/ML experience
• Hands-on experience with Google Cloud Platform (GCP)
• Strong knowledge of data pipelines, ETL/ELT, data warehousing, and data modeling
• Experience with AI/ML and/or Generative AI solutions
• Strong Python and SQL skills
• Experience with GCP data services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Vertex AI, or similar
• Experience working with large-scale datasets
• Strong understanding of cloud architecture and distributed data systems
• Retail domain experience is highly preferred
• Excellent communication and stakeholder management skills

Preferred Qualifications

• Experience with Vertex AI, LLMs, RAG, or GenAI applications
• Experience with modern data platforms and lakehouse architectures
• Knowledge of data governance, security, and privacy
• Experience with retail domains such as merchandising, inventory, supply chain, e-commerce, pricing, customer analytics, or demand forecasting
• Experience working in fast-paced consulting or enterprise environments