Data Engineer

Job Title: Data Engineer – MMIS (Medicaid Management Information System)Location: Remote (USA)Must have:

- Data Transfer / ETL

- SQL Proficiency

- Creating and maintaining ETL Pipelines

- Experience with API ingestion.

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.

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