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preferred education is a Master’s degree and preferred experience is 8 years, with certifications not required but AI/ML certifications preferred.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},262925,1790442440,{"code":4,"msg":81,"data":82},"success",[83,88,92,97,102,107,112,117,122],{"id":84,"doc_module":22,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},11,"Presentations",90,"presentations",{"id":89,"doc_module":22,"doc_module_name":25,"category_name":29,"show_sort_weight":90,"slug":91},12,80,"resumes",{"id":93,"doc_module":22,"doc_module_name":25,"category_name":94,"show_sort_weight":95,"slug":96},14,"Invoices",70,"invoices",{"id":98,"doc_module":22,"doc_module_name":25,"category_name":99,"show_sort_weight":100,"slug":101},15,"Posters",60,"posters",{"id":103,"doc_module":22,"doc_module_name":25,"category_name":104,"show_sort_weight":105,"slug":106},16,"Social Media",50,"social-media",{"id":108,"doc_module":22,"doc_module_name":25,"category_name":109,"show_sort_weight":110,"slug":111},17,"Forms",40,"forms",{"id":113,"doc_module":22,"doc_module_name":25,"category_name":114,"show_sort_weight":115,"slug":116},18,"Letters",30,"letters",{"id":118,"doc_module":22,"doc_module_name":25,"category_name":119,"show_sort_weight":120,"slug":121},21,"Paper Templates",5,"papers-templates",{"id":123,"doc_module":22,"doc_module_name":25,"category_name":124,"show_sort_weight":4,"slug":125},158,"General","general-158",{"code":4,"msg":81,"data":127},{"doc_id":78,"user_id":128,"nickname":42,"user_avatar":129,"doc_module":22,"category_id":89,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":33,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":120,"language":135,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":12,"update_tm":139,"read_time":26},2336475104957,"https://ap-avatar.wpscdn.com/avatar/22000c4c6bd8a5076e1?x-image-process=image/resize,m_fixed,w_180,h_180&k=1787554080175789136","APPLY ONLINE  \nPosition Summary  \nSr. Data Engineer – Enterprise Programmer Analyst II  \nPurpose  \nPrepare and transform data for analytical, operational, and intelligent automation uses to support diverse stakeholder needs throughout the Center for International of Blood and Marrow Transplant Research (CIBMTR) , including statisticians, data scientists, scientific directors, and CIBMTR partners. Design, develop, and implement data-and AI-centric solutions aligned with evolving user needs—leveraging structured and unstructured data, optimizing data quality, and enabling scalable Machine Learning and Agentic Artificial Intelligence (AI) systems.  \nPrimary Functions  \n• Lead or actively contribute to multidisciplinary data and AI workstreams, collaborating with data scientists, analytics engineers, and partner engineering teams to design and build next-generation intelligent data solutions.  \n• Design and implement modern, scalable, secure, high performing data architectures, including data lakes, lakehouse and data commons.  \n• Develop and optimize data pipelines (ETL/ELT) and orchestration systems for large scale data ingestion and processing of structured and unstructured data as well as integrating organizational data for ML/AI workloads for analytics and ML/AI applications.  \n• Build reusable, modular components and APIs to support scalable Agentic AI frameworks and enable autonomous data operations aligned with outcomes research and clinical trials.  \n• Work independently or as part of a team with subject matter experts to identify user needs and requirements for efficient, scalable and reliable data pipelines and models that support data-driven initiatives.  \n• Support automation of operational workflows using Agentic AI, including evaluation, performance tuning and observability.  \n• Develop and maintain clear documentation aligned with Standard Operating Procedures (SOPs), best practices, and regulatory requirements for both data engineering and AI components.  \n• Mentor and train data engineers and analytics engineers in the adoption and integration of AI and ML methods and frameworks.  \n• Perform other duties as required.  \nKnowledge – Skills – Abilities  \n• Experience in designing, implementing, and scaling data pipelines for structured and unstructured data in modern Lakehouse or data lake architectures.  \n• Strong proficiency in SQL and at least one scripting language (e.g., Python) .  \n• Solid understanding of data engineering principles, including data preparation, feature engineering, and model lifecycle management.  \n• Solid understanding of prompt engineering.  \n• Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Bedrock, or comparable) .•  \n• Familiarity with LLMs, agentic frameworks, and AI orchestration patterns (e.g., LangChain, AutoGen, or similar) .  \n• Familiarity with techniques to integrate organizational data into AI workflows, such as Retrieval Augmented Generation (RAG) .  \n• Strong data profiling and data quality assurance experience.  \n• Knowledge of workflow decomposition for automation.  \n• Excellent problem-solving, analytical thinking, and communication skills.  \n• Ability to mentor technical staff and communicate data engineering and AI concepts to non-expert audiences.  \nPreferred:  \n• Knowledge of data interoperability and data standards (e.g., FHIR, HL7, JSON, XML) .  \n• Experience with Agentic AI reasoning patterns and system frameworks.  \n• Experience working in AGILE Scrum team framework.  \n• Familiarity with orchestration tools (e.g. Airflow or Dagster) .  \n• Familiarity of R, SAS, JupytrLab or other statistical software is a plus.  \n• Experience with Model Context Protocol (MCP), RESTful APIs and modern integration methods.  \n• Familiarity of model evaluation and observability.  \nSpecifications:  \nAppropriate experience may be substituted on an equivalent basis.  \nMinimum Required Education: Bachelor’s Degree  \nMinimum Required Experience: 5 years  \nPreferred Educatio","cbCaigLgYnVHpZOx","https://ap.wps.com/l/cbCaigLgYnVHpZOx","pdf",191539,"English","# Position Summary\n## Purpose\n## Primary Functions\n## Knowledge – Skills – Abilities\n## Specifications\n## Organizational Structure\n## Classification\n## Job Scope\n## Physical Requirements\n## Risk Potential\n## Sensory Acuity\n## Work Environment","[{\"question\":\"What is the main purpose of the Sr. Data Engineer (Enterprise Programmer Analyst II) role?\",\"answer\":\"Prepare and transform data for analytical, operational, and intelligent automation use, supporting CIBMTR stakeholders from statisticians to scientific directors and partners.\"},{\"question\":\"What are the primary responsibilities in this position?\",\"answer\":\"Lead multidisciplinary data and AI workstreams, build modern scalable data architectures, develop ETL/ELT pipelines and orchestration, and create reusable components and APIs for agentic AI frameworks and autonomous data operations.\"},{\"question\":\"What minimum qualifications and preferred experience does the role specify?\",\"answer\":\"Minimum education is a Bachelor’s degree and minimum experience is 5 years; preferred education is a Master’s degree and preferred experience is 8 years, with certifications not required but AI/ML certifications preferred.\"}]","Sr. Data Engineer - Enterprise Programmer Analyst II - Job Description | PDF",1789365717]