COMPANY OVERVIEW:

For over two decades, Aspirion has been a leader in revenue cycle services, specializing in recovering challenging payments from third-party payers. Our expertise spans complex denials, aged accounts receivable, motor vehicle accidents, workers’ compensation, Veterans Affairs, and out-of-state Medicaid. We foster a results-oriented work environment that is both challenging and rewarding, offering opportunities for professional and personal growth.

REQUIRED SKILLS & QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or a related technical field.
• Minimal 10 years of experience in data architecture and engineering, with expertise in modern data technologies.
• Proven track record of designing and implementing large-scale data solutions in an enterprise environment.
• Expertise in database technologies: NoSQL (MongoDB, Cassandra, Cosmos DB), Graph DB (Neo4j, AWS Neptune), and relational databases (SQL Server, Azure SQL, MySQL on AWS).
• Experience with enterprise data architecture: Data Lakes, Data Warehouses, and Lakehouse implementations.
• Strong understanding of healthcare data and security standards: HIPAA, HiTrust, and best practices for data security and compliance.
• Proficiency in EDI and ETL tools, ensuring efficient data integration and processing.
• Experience with AI/ML data preparation, designing architectures that support analytics and machine learning models.
• Cloud expertise: Hands-on experience with Azure, AWS, or Google Cloud for data solutions.
• Strong analytical and problem-solving skills, with the ability to troubleshoot data challenges.
• Excellent communication and collaboration skills, working effectively across teams.
  At Aspirion we invest in our employees by offering unlimited opportunities for advancement, a full benefits package, including health, dental, vision and life insurance upon hire, matching 401k, competitive salaries, and incentive programs.
  The US base pay is determined by a number of factors including, but not limited to, job-related skills, experience, education, training, licensure or certifications obtained. Market, location and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates may be eligible to receive a bonus tied to achieved results.
  Must reside in the United States within one of the states listed below:
  Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Iowa, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Wisconsin, West Virginia, and Wyoming.

ROLE OVERVIEW:

The Principal Engineer - Data is responsible for designing and implementing modern data architectures that support Aspirion’s business objectives. This role requires deep expertise in NoSQL and Graph DB technologies, alongside traditional relational database systems such as Microsoft SQL Server, Azure SQL Server, and MySQL on AWS. The ideal candidate will have experience in Data Lake, Data Warehouse, and Data Lakehouse implementations and a strong background in healthcare data standards and security, including HIPAA and HiTrust compliance. Additionally, familiarity with EDI, ETL processes, and data requirements for AI/ML applications is highly desirable.

KEY RESPONSIBILITIES:

• Architect and implement scalable data management solutions, integrating modern and traditional database technologies.
• Lead the design and optimization of NoSQL, Graph DB, and relational databases to support business analytics and operational needs.
• Develop and oversee Data Lake, Data Warehouse, and Data Lakehouse solutions, ensuring best practices for data storage and retrieval.
• Ensure HIPAA and HiTrust compliance, implementing security best practices such as encryption, access controls, and audit logging.
• Design and implement data integration pipelines, leveraging ETL and EDI standards to ensure smooth data exchange.
• Provide architectural guidance on AI/ML data requirements, ensuring data models support advanced analytics and machine learning workloads.
• Collaborate with cross-functional teams to align data architecture with business goals and drive enterprise data strategy.
• Define best practices for data governance, data quality, and metadata management to improve reliability and accuracy.
• Evaluate and recommend modern data technologies to enhance system performance, scalability, and maintainability.
• Mentor and guide data engineers and developers in implementing best-in-class data architectures.