Lead data design, prototype, and development of data pipeline architecture pipelines. Lead implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Lead cause analysis on external and internal processes
The Principal Data Engineer serves as a hands-on technical authority responsible for defining and implementing enterprise-scale data architecture and engineering strategies while actively contributing to solution design, development, optimization, and technical delivery. As part of an
The IT Manager for the Outpatient Ancillary Unit leads a team responsible for the support, configuration, and optimization of Epic modules that enable clinical workflows which includes Secure Chat, In Basket, Mobile (Haiku/Canto/Rover), Home Health and
Job Description: Summary: The HCRA Analyst is responsible for administering, monitoring, and analyzing activities of the Lifetime Healthcare Companies related to the New York State Health Care Reform Act (HCRA), Federal Affordable Care Act (ACA), extraterritorial
Job Summary:The Chief Technical Officer (CTO) is a C-suite executive and a member of the senior leadership team, accountable for defining and executing CaterTrax®s enterprise technology vision in direct support of the companys AI business transformation
Job Description: Fall 2026 Internship The Fall College Internship Program is a paid co-op/internship experience that provides undergraduate and graduate students the opportunity to attend development workshops, network, and be part of our company. Our college
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with