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.