HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.
HHAeXchange is seeking a Data & AI Solutions Engineer to join our Business Operations team. Reporting to the Director of Data and Analytics, this role will drive data-driven decision-making across key internal functions while spearheading our transition to modern, AI-powered analytics and application development.
This is a pivotal role for someone who thrives at the intersection of data engineering, business intelligence, and emerging AI technologies. You will design and deploy internal AI applications, build intelligent agents to automate business processes, and create scalable data solutions that empower teams across the organization.
Essential Job Duties
- Design, develop, and deploy internal AI applications using modern AI-driven development tools such as Cursor and Replit
- Create and deploy AI agents to automate business processes and respond to evolving organizational needs
- Lead our transition from legacy BI tools to next-generation, AI-enhanced analytics solutions
- Build and automate ETL pipelines to ensure reliable, efficient data flows
- Design and maintain scalable data models that support enterprise reporting and analytics
- Develop automated reporting solutions
- Partner with stakeholders across the organization to translate business needs into data-driven solutions
- Collaborate with leadership to define and track key performance indicators and success metrics
- Train staff and leadership on interpreting dashboards, reports, and AI-powered tools
- Champion data governance and quality standards within your domain
- Stay current with analytics, BI, and AI industry trends to drive innovation and operational maturity
Other Job Duties
- Other duties as assigned by supervisor or HHAeXchange leader
Travel Requirements
- Travel up to 10%, including overnight travel
Required Education, Experience, Certifications and Skills
- 2+ years of professional experience, including at least 1 year in an analytical or engineering capacity
- Proficiency with database query languages such as SQL, Snowflake, or PostgreSQL
- Experience with business intelligence platforms such as Tableau, Power BI, or Qlik
- Hands-on experience with large language models (Claude, ChatGPT) and AI-assisted development tools (Cursor, Replit)
- Strong analytical and problem-solving abilities with attention to detail and big-picture thinking
- Excellent verbal and written communication skills, with the ability to present complex data to non-technical audiences
- Self-starter mentality with a proactive approach to identifying challenges and delivering solutions
- Ability to manage multiple priorities and deliver consistent results in a fast-paced environment
- Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role
Nice to Have
- Prior experience in a SaaS or consulting environment
- Experience with React, Python, and AWS cloud services
The base salary range for this US-based, full-time, and exempt position is $115,000-$117,500, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.
This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.
HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.
