Senior Data Integrity Engineer (Healthcare EDI)
Sift Healthcare
Sift Healthcare is seeking a Senior Data Integrity Engineer (Healthcare EDI) to lead the intake, investigation, and quality assurance of healthcare data sources that power our AI and advanced analytics products. This role sits at the intersection of data engineering, analytics, and domain expertise — perfect for someone who thrives in ambiguity, loves problem-solving, and knows how to turn messy healthcare data into reliable assets.
The Healthcare EDI Analyst will serve as a primary resource for the intake of new healthcare EDI data. The ideal candidate will have an inquisitive nature and a thirst for getting to the bottom of data patterns, along with the technical expertise (SQL) to navigate healthcare EDI data in a relational database.
We are looking for a candidate with 5+ years of experience in Healthcare EDI data and a degree in Computer Science, Healthcare or a related field. We are looking for someone who has domain expertise in one or more of the following: claims processing, enrollment, EDI transactions, eligibility, referrals and prior authorizations.
RESPONSIBILITIES
· Serve as a primary resource for intake of new Healthcare EDI data, including but not limited to:
o Matching claims submissions and remittances
o Helping define a target population through exclusions in the data
o Lead investigation of anomalies across payer, provider and clearinghouse feeds
· Ownership of data onboarding, mapping logic, and integrity validation pipelines
· Collaborate cross-functionally with Product, Engineering, and Client Success to troubleshoot ingestion or matching issues
· Participate in ad-hoc data analysis (claims-based research)
· Define and improve EDI data intake and validation frameworks
· Assist with review and documentation of our existing code base and data flow
QUALIFICATIONS
· Proficiency working with Healthcare EDI transactions: 837 (I and P); 835
· 5+ years of experience querying and analyzing Healthcare Data (EDI required, but preference given to candidates who also have experience with EHR/EMR data out of a provider practice management system such as Epic or Cerner)
· Working knowledge of EDI healthcare transactions, including split transactions and claim numbering
· Experience defining or improving EDI intake pipelines, including data validation rules, matching logic, and exception handling