Senior Data & AI Engineer

Quadrant, Inc.

Dallas, TX, United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.disabledperson.com

Tech stack

Artificial Intelligence Business Analytics Applications Big Data BigQuery Cloud Computing Cloud Engineering Cloud Storage Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Warehousing

+12 more

Distributed Data Store Data Flow Control Python (Programming Language) Machine Learning Standard Sql Cloudera Google Cloud Retrieval-Augmented Generation Large Language Models Generative AI Data Management Data Pipelines

Job description

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., * 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.

Requirements

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