Job Description
Job Description – Senior Data & AI Engineer
\n
Duration: Long term contract
\n
Location: 1 Resource – Dallas, TX | 1 Resource – Redmond, WA (Onsite)
\n
Note: Visa independent candidates only.
\n
\n
Position Overview
\n
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.
\n
Key Responsibilities
\n
- \n
- 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.
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
Required Skills
\n
- \n
- 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
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
Preferred Qualifications
\n
- \n
- 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
\n
\n
\n
\n
\n
\n