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Senior Data & AI Engineer
Quadrant Technologies
3 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 .
Want to apply Read all the information about this position below, then hit the apply button.
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. xsgimln 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
Long term contract Location:
1 Resource – Dallas, TX | 1 Resource – Redmond, WA (Onsite) Note: Visa independent candidates only .
Want to apply Read all the information about this position below, then hit the apply button.
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. xsgimln 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