Data Engineer – MMIS (Medicaid Management Information System)

Job Title: Data Engineer – MMIS (Medicaid Management Information System) Location: Remote (USA) Job Type: Contract Pay rate: try to get the lowest possible. 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 hands‑on 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 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 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 • Hands‑on MMIS experience (MANDATORY) • Experience working with Medicaid or Healthcare Payer systems • Strong proficiency in: • SQL / PL‑SQL (advanced querying) • Python (for data processing and pipeline development) • Experience handling large, complex healthcare datasets • Experience supporting compliance‑driven 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 / PL‑SQL • SAS (preferred in Medicaid environments) • Hadoop / Spark (nice to have) • Tableau, Power BI, or similar BI tools • Cloud platforms: AWS, Azure, or GCP 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 modernisation projects • Familiarity with healthcare data standards: • HIPAA • ICD‑10 • 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 cross‑functional teams