Senior Data Engineer – Client Implementation

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 Senior Client Integration Data Engineer plays a crucial role in onboarding new clients by optimizing data imports, extracts, and automation processes. This position requires expertise in healthcare data exchange standards, including HL7 (ADT, ORU, SIU), X12 (270/271, 837/835), NCPDP, and FHIR, as well as EPIC, Cerner, and MediTech systems and data formats. Proficiency in SQL, RDBMS, Python, or C#, along with experience in cloud-based ETL tools (e.g., Databricks, Azure Data Functions, EasyMorph), is essential. The ideal candidate has 8 years of experience in healthcare data engineering with a strong understanding of data security and compliance (HIPAA, HITRUST).

Key Responsibilities:

• Act as an SME and liaison between Client Implementation and Data Engineering for data ingestion and extraction.
• Analyze and document existing client configurations and data exchange requirements.
• Design and build scalable, standardized imports and extracts to replace legacy data feeds.
• Conduct gap analyses between client-provided data specifications and Aspirion’s standards.
• Assist clients in aligning with Aspirion’s data specifications and maintain a repository of standardized responses and best practices.
• Configure Aspirion platforms for new client data integration and ensure compatibility.
• Implement automated testing and validation processes to ensure data exchange stability and integrity.
• Identify, troubleshoot, and resolve data issues during UAT, QA, and post-go-live Hypercare support.
• Escalate unresolved issues, standardization needs, and deviations from data specifications.
• Develop and maintain clean, efficient code in Python or C# while leveraging cloud platforms (Azure, AWS, or Google Cloud) for automation.
• Ensure compliance with HIPAA, HITRUST, and other data security standards, including data encryption, access control, and audit logging.
• Collaborate with cross-functional teams using Agile methodologies, CI/CD pipelines, and version control (Git) to streamline data integration workflows.
• Continuously optimize data processing workflows for improved efficiency and performance.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field.
• Minimal 8 years of experience in data engineering within the healthcare industry.
• Strong experience in ETL, data integration, and healthcare data formats.
• Proficiency in programming and database technologies: SQL, Azure Data Factory, Databricks, EasyMorph, Python, or C#.
• Experience with healthcare revenue cycle data: Expertise in HL7, X12, FHIR, NCPDP, and healthcare data interoperability.
• Experience with EPIC, Cerner, and MediTech systems and data formats.
• Cloud expertise: Hands-on experience with Azure, AWS, or GCP for data management and automation.
• Understanding of modern software design patterns: Microservices architecture, RESTful API development.
• Hands-on experience with development tools: Git, automated testing, DevOps methodologies.
• Strong analytical and problem-solving skills: Ability to troubleshoot and optimize data processes.
• Excellent communication skills: Ability to collaborate across teams and with stakeholders.
• Self-motivated and adaptable: Ability to thrive in a fast-paced, dynamic environment.

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.