Principal Engineer - Data

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.

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.

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.