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Lead System Engineer (Chicago)

KMM Technologies, Inc., Chicago, IL, United States


Job Description for Systems Analyst for HEDIS 2026

Required Basic Qualifications:
Bachelor’s Degree in Computer Science, Information Systems, Business Administration, or equivalent work experience.
Minimum 8 years of IT work experience including application system design and implementation.
Experience with the following technologies: SQL, XML, JSON, Erwin, HL7 formats including FHIR, Ab-Initio.
Experience with HL7 data formats for Interoperability.
Exchange mechanisms
Implementation mechanisms
mapping data from HL7 formats to FHIR.
Storing HL7 data for query and analysis.
Experience with the following: Data Warehousing, Data profiling, Data Quality analysis and Data Analytics.
Experience in creating SA technical artifacts such as Functional Requirements Specifications (FRS), Requirements Traceability Matrix (RTM), Source to Targets (S2Ts), Data Exchange Documents (DEDs), and Data Models.
Advanced SQL query and experience in a data analyst role with strong data analysis and analytical skills
Minimum 3 years of data modeling including one or more of the following: Postgres, DB2 or comparable
Effective at gathering and analyzing business requirements and current system behavior and collaborating to create system design specification documents including functional specifications, system use cases, mock-ups, and design models.
Demonstrated experience working within a complex team environment, working with multiple vendor teams, providing SME support across multiple programs
Experience with reference data management / governance and end to end data lineage
Knowledge of multiple development methodologies.
Strong collaboration, facilitation, and listening skillset

Preferred Basic Qualifications:
HL7 certifications for FHIR.
Master’s degree in Computer Science, Information Systems or related field.
Familiar with data governance, data lineage, data quality, and security.
Familiarity with BCBS and health care industry concepts (e.g. HEDIS, EHR).
Knowledge of Federal Employee Program.
Familiarity with AWS.