AI Data & Integration Engineer

Overview At Care Hospice, we believe data should drive better decisions, better care, and better outcomes. We're looking for a hands-on Data & Integration Engineer to help build the data pipelines and system integrations that power our analytics, automation, and AI initiatives. This role is a hands-on builder within the AI and Automation team , focused on connecting systems, orchestrating data movement, and enabling reliable execution of AI-powered use cases. The engineer partners closely with analytics, application, and automation practitioners to deliver solutions that integrate modern data platforms with automation tools and AI services.

Location:

This position is based out of our Charlottesville Support Center Office, located in the Dairy Market. This role offers a hybrid schedule, balancing occasional on-site work with remote flexibility. Candidates must be within driving distance of the office for on-site days. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. •Who we are: At Care Hospice, we're not just a company; we're a team united by a common goal - providing exceptional hospice and palliative care to those in need. We take immense pride in being a mission-driven, patient-centered leader in end-of-life care. Guided by our vision to be the most trusted partner in hospice care, we surround our patients and their loved ones with unwavering support, comfort, and compassion. At Care Hospice, we look for dedicated professionals who share our belief that true hospice care extends beyond medical needs—it's about bringing dignity, peace, and human connection to every life we touch. We offer a supportive, growth-oriented environment along with a comprehensive benefits package that includes: Comprehensive Health, Dental, & Vision Insurance Company matching 401(k) to secure your future A generous time-off package with 15 days of

PTO & 10

Holidays to rest and recharge Tuition Reimbursement & Certification Assistance to support your professional growth Wellness & Discount Programs to help you lead a healthy and balanced life Cell Phone, Mileage, & Gym Membership Reimbursement for your convenience Responsibilities Design and build scalable data pipelines and models to support analytics, reporting, and operational workflows Design, build, and maintain data pipelines and models using Snowflake and dbt to support analytics, automation workflows, and AI-driven applications Develop and maintain system integrations using APIs, file transfers, and other integration methods Enable AI and automation use cases by ensuring high-quality, well-structured, and accessible data for agents, copilots, and intelligent workflows Partner with analytics and business teams to deliver accurate, reliable data solutions and dashboards Collaborate with AI and automation practitioners to operationalize use cases including document processing, workflow automation, decision support, and agent-based interactions Support automation and AI initiatives by ensuring strong data foundations and system connectivity Partner with application owners and vendors to understand system capabilities, APIs, and constraints impacting automation and AI integration Monitor and maintain data quality, implementing testing and validation processes Troubleshoot and resolve issues related to data pipelines, integrations, and performance Collaborate with application teams and vendors to understand data flows and system behavior Contribute to system implementations, data migrations, and ongoing optimization efforts Participate in code reviews, design discussions, and continuous improvement initiatives Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience) 5+ years of experience in data engineering, systems integration, or related technical roles Strong SQL skills and working knowledge of Python Experience building data pipelines in Snowflake and working with DBT or similar tools Experience with platforms such as Copilot Studio, Azure AI Foundry, or similar tools Experience with APIs, file-based integrations, and modern data platforms Familiarity with BI tools such as Tableau or similar Ability to troubleshoot data quality, integration, and performance issues across systems Experience in healthcare or other regulated environments preferred Familiarity with HL7, FHIR, or other healthcare data standards is a plus Strong skill set in prioritizing, meeting deadlines, and working independently Excellent communication and collaboration skills High level of integrity and ability to handle confidential information $100,000 - $120,000 per year (Average Pay Range). The pay range listed represents a general guideline for the role and is not a guarantee of the final offer. Compensation will be determined based on the selected candidate's relevant experience and the specific responsibilities of the position. Final compensation rate will be discussed and confirmed at the conclusion of the interview process.