A complete application in a minute
Tailored resume and cover letter, ready to send.
KMM Technologies, Inc. is seeking a Lead Systems Analyst to lead backend data warehousing, HL7 to FHIR mappings, and data governance initiatives. You will design source-to-target mappings, data exchange documents, and data models to support healthcare interoperability projects.
The role emphasizes advanced SQL, data profiling, and collaboration with multiple vendor teams. Remote with long-term contract work, focusing on building a compliant HEDIS data repository.
(8 - 11 years)
(Sr. Software Engineer) Lead Systems Analyst - Its a immediate Need - 9+ Months Contract - 100% Remote - 2 Virtual Interviews
The client needs a technical Systems or Data Analyst with deep experience in data warehousing, data pipelines, data profiling, and advanced SQL. They explicitly state the candidate should not be a typical front-end or business analyst, but rather someone who functions like a data engineer.
Expertise in HL7 to FHIR Data Conversion: The immediate project requires hands-on experience with HL7 v2/v3 formats, mapping data to FHIR, storing HL7 data for query/analysis, and understanding interoperability exchange mechanisms.
This immediate project involves collecting data in HL7 v2 and v3 formats, converting them to FHIR and storing it to build a data repository.
Looking for someone who has some experience in FHIR formatting
The client needs someone who can translate business requirements into concrete technical deliverables, including Source-to-Target (S2T) mappings, Data Exchange Documents (DEDs), data models, and functional specifications that development teams can directly implement.
Data Modeling & Governance Experience on data modeling (Postgres, DB2, etc.) the candidate must also understand reference data management, end-to-end data lineage, data quality, and data governance-critical for building a compliant HEDIS data repository.
Look for someone who is a Systems or Data Analyst with expertise in backend data warehousing, expert in advanced SQL, HL7 to FHIR mapping, data modeling, and creating technical artifacts (S2T, DEDs) for healthcare interoperability projects (HEDIS preferred).
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 mechanismsImplementation mechanismsmapping 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.
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.
health care industry concepts (e.g. HEDIS, EHR).
Knowledge of Federal Employee Program.
Familiarity with AWS.
Most of our projects are in the backend data warehouse environment. Data pipeline, data analysis / profiling and strong SQL skills are essential. Data modeling, ETL, data governance knowledge / experience is great. Along with several soft skills necessary to succeed such as communication (verbal / written), initiative, flexibility, etc.
This immediate project involves collecting data in HL7 v2 and v3 formats, converting them to FHIR and storing it to build a data repository. And then helping to build out an API to share the data.
The candidate must be able to interact with business users to understand and flesh out requirements.
The candidate must be able to provide technical mappings and models for the technical teams to implement.
The candidate should not be a typical Business Analyst or front-end person. However, they can have some of those skillsets / experience. A technical systems analyst or data analyst, data engineer perhaps.
The candidate must be able to communicate with all levels and areas and translate business requirements into the functional and technical requirements.
The candidate should be a highly motivated individual contributor capable of working smartly and efficiently to get the deliverables delivered in time.