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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data & AI Engineer - **Company:** Quadrant, Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** 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, 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 - **Published:** October 2, 2026 - **Apply:** https://www.disabledperson.com/jobs/75689931-senior-data-ai-engineer ## About the Role * 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 ## 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Making Data Warehouses fast. 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Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)