Data Engineer

Key Responsibilities

Design, build, and maintain data pipelines that extract, transform, and load data from source systems into reporting and analytics environments.
Develop and maintain the data warehouse / data mart structure to support operational, clinical, financial, and population health reporting.
Integrate data from multiple systems such as:
- HIS / EMR
- ERP / Finance
- HR systems
- Laboratory / Radiology / Pharmacy systems
- Manual and external data sources
Clean, standardize, and validate data to improve data quality, consistency, and usability .
Build and maintain reusable datasets for Power BI dashboards , KPI tracking, and automated reporting.
Work with analysts and business stakeholders to translate reporting needs into structured data models.
Support the development of:
- patient registries
- physician registries
- disease registries
- performance and KPI datasets
Monitor pipeline performance, troubleshoot failures, and ensure timely data refresh.
Document data sources, logic, definitions, and transformations clearly.
Participate in data governance efforts, including master data standardization, metric definitions, and access controls.
Ensure compliance with organizational policies related to data privacy, security, and confidentiality .

Required Qualifications

Bachelor’s degree in:
- Computer Science
- Data Engineering
- Information Systems
- Software Engineering
- or related field
Proven experience in data engineering, ETL development, or database development
Strong SQL skills
Experience with data integration and transformation tools
Experience working with relational databases and large datasets
Experience supporting BI/reporting environments

Preferred Qualifications

Experience in healthcare, hospital, or EMR/HIS data environments
Experience with:
- Microsoft SQL Server
- Azure Data Factory
- SSIS
- Python
- Power BI backend support
Familiarity with healthcare data domains such as visits, billing, orders, labs, diagnoses, procedures, and registries
Understanding of data warehouse concepts such as:
- star schema
- fact and dimension tables
- data modeling
- data lineage

Key Skills