Data Engineer with MMIS experience
Posted Today by StarTechs Inc.
Negotiable
Undetermined
Remote
Remote
Summary: We are seeking an experienced Data Engineer with MMIS (Medicaid Management Information System) experience to design, build, and support scalable data pipelines and analytics platforms for large Medicaid healthcare programs. The role involves enabling reliable ingestion, transformation, and delivery of Medicaid data for analytics, reporting, and data science use cases. The ideal candidate will have hands-on experience with Medicaid claims data, advanced SQL and Python skills, and a deep understanding of MMIS data structures and compliance needs.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines for MMIS and Medicaid data sources
- Ingest, process, and transform large-scale healthcare datasets including claims, encounters, provider, and member data
- Collaborate with Data Scientists, BI teams, and program stakeholders to deliver analytics-ready datasets
- Support predictive modeling, fraud/waste/abuse (FWA) analytics, and cost optimization initiatives through high-quality data engineering
- Perform data validation, cleansing, and quality checks aligned with CMS and state Medicaid requirements
- Optimize SQL queries and data processing workflows for performance and reliability
- Support federal and state reporting needs by preparing compliant, governed datasets
- Ensure data security, governance, and HIPAA compliance standards are met
- Troubleshoot pipeline failures and support production environments
- Translate business and reporting requirements into scalable data engineering solutions
Key Skills:
- Bachelor's or Master's degree in Computer Science, Data Engineering / Data Science, Healthcare Informatics, Statistics / Mathematics or related field
- 6+ years of experience in Data Engineering or Analytics Engineering roles
- Hands-on MMIS experience (MANDATORY)
- Experience working with Medicaid or Healthcare Payer systems
- Strong proficiency in SQL / PLSQL (advanced querying)
- Strong proficiency in Python (for data processing and pipeline development)
- Experience handling large, complex healthcare datasets
- Experience supporting compliance-driven environments (CMS, HIPAA)
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Job Title: Data Engineer MMIS (Medicaid Management Information System)
Location: Remote (USA)
Role Summary
We are seeking an experienced Data Engineer with MMIS (Medicaid Management Information System) experience to design, build, and support scalable data pipelines and analytics platforms for large Medicaid healthcare programs. This role will support client s MMIS modernization and analytics initiatives by enabling reliable ingestion, transformation, and delivery of Medicaid data for downstream analytics, reporting, and data science use cases.
The ideal candidate will have strong handson experience with Medicaid claims and encounter data, advanced SQL and Python, and a deep understanding of MMIS data structures, CMS compliance needs, and payer systems.
Key Responsibilities
- Design, build, and maintain scalable data pipelines for MMIS and Medicaid data sources
- Ingest, process, and transform largescale healthcare datasets including claims, encounters, provider, and member data
- Collaborate with Data Scientists, BI teams, and program stakeholders to deliver analyticsready datasets
- Support predictive modeling, fraud/waste/abuse (FWA) analytics, and cost optimization initiatives through highquality data engineering
- Perform data validation, cleansing, and quality checks aligned with CMS and state Medicaid requirements
- Optimize SQL queries and data processing workflows for performance and reliability
- Support federal and state reporting needs by preparing compliant, governed datasets
- Ensure data security, governance, and HIPAA compliance standards are met
- Troubleshoot pipeline failures and support production environments
- Translate business and reporting requirements into scalable data engineering solutions
Required Qualifications
- Bachelor s or Master s degree in:
- Computer Science
- Data Engineering / Data Science
- Healthcare Informatics
- Statistics / Mathematics or related field
- 6+ years of experience in Data Engineering or Analytics Engineering roles
- Handson MMIS experience (MANDATORY)
- Experience working with Medicaid or Healthcare Payer systems
- Strong proficiency in:
- SQL / PLSQL (advanced querying)
- Python (for data processing and pipeline development)
- Experience handling large, complex healthcare datasets
- Experience supporting compliancedriven environments (CMS, HIPAA)
Technical Skills
Data Engineering & Platforms
- Data pipeline development and optimization
- Data ingestion, transformation, and validation
- Data governance and quality management
Tools & Technologies
- Python (Pandas, NumPy)
- SQL / PLSQL
- SAS (preferred in Medicaid environments)
- Hadoop / Spark (nice to have)
- Tableau, Power BI, or similar BI tools
- Cloud platforms: AWS, Azure, or Google Cloud Platform
Healthcare & MMIS Knowledge
- MMIS platforms and Medicaid data models
- Medicaid claims processing workflows
- Encounter data, provider data, member eligibility data
- CMS reporting standards and compliance
- Fraud, Waste & Abuse (FWA) analytics support
Preferred Qualifications
- Experience working on MMIS modernization projects
- Familiarity with healthcare data standards:
- HIPAA
- ICD10
- CPT
- HL7 / FHIR (nice to have)
- Experience supporting Data Science or Machine Learning teams
- Experience working in Agile / Scrum environments
- Strong communication skills and ability to collaborate with crossfunctional teams