Q
Senior Data & AI Engineer
Quadrant Technologies
4 hours ago
Full-time
On-site
Redmond, Washington, United States
Job Description – Senior Data & AI Engineer
Duration:
Long term contract
Location:
1 Resource – Dallas, TX | 1 Resource – Redmond, WA (Onsite)
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
Duration:
Long term contract
Location:
1 Resource – Dallas, TX | 1 Resource – Redmond, WA (Onsite)
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