Job Description

We are seeking a skilled and experienced Data Engineer to join our data and analytics team within a dynamic healthcare environment. This role involves developing and maintaining data pipelines, designing data models, optimizing data storage, and supporting enterprise-wide analytics initiatives. The ideal candidate will have strong experience working with Snowflake and a solid understanding of healthcare data systems and terminology. This is a highly collaborative role that works closely with data analysts, data scientists, clinicians, and operational leaders



Design, build, and maintain scalable, efficient, and reliable data pipelines Develop and manage data models and schemas in Snowflake to support analytical and operational use cases Integrate data from various healthcare systems, including EMRs, billing systems, and third-party platforms Perform data cleansing, transformation, and enrichment to ensure data quality and usability Collaborate with analysts, data scientists, and stakeholders to understand data requirements and deliver solutions Implement and maintain data governance, privacy, and security protocols aligned with healthcare regulations Monitor, troubleshoot, and optimize pipeline performance and system reliability Develop automated testing and validation processes to ensure data integrity Document data flows, architecture, and processes for transparency and future maintenance Support data integration with BI and visualization tools like Power BI or Tableau Participate in code reviews and contribute to best practices in data engineering

Education and Certification


Bachelor's degree in Computer Science, Information Systems, Engineering, or related field Master's degree is a plus Prior experience working in the healthcare industry is required Certifications in data analytics or BI tools (e.g., Microsoft Power BI, Tableau, SQL, Python, or Google Analytics) are preferred.
Knowledge and Skills


Proficient in data analysis, statistics, and visualization tools and techniques. Advanced Excel skills and working knowledge of SQL, Python, or R. Experience with business intelligence platforms like Power BI, Tableau, or QlikView. Strong understanding of data structures, relational databases, and data governance principles. Ability to interpret and present complex data in a simple and meaningful way for business stakeholders. Excellent problem-solving, critical thinking, and communication skills. Detail-oriented with the ability to manage multiple tasks and tight deadlines. Comfortable working in a fast-paced, cross-functional environment.
Data Analyst benefit from having experience/competency in:


Snowflake (required) SQL (advanced) Python (or equivalent scripting language) ETL/ELT tools Data visualization tools (e.g., Power BI, Tableau) Cloud platforms (AWS, Azure, or GCP) Git/version control CI/CD pipelines (optional but beneficial) Data governance Self-service BI tools
Experience


5+ years of experience in a Data Engineering or similar role Hands-on experience with Snowflake including performance tuning and data modeling Strong SQL development skills Experience working with healthcare data, including familiarity with clinical, operational, and billing datasets Solid understanding of data governance, data quality, and security practices in a healthcare environment Experience with ETL/ELT tools and CDC tools (Fivetran) Knowledge of cloud platforms such as AWS, Azure, or GCP * Experience building data pipelines using Python or similar scripting languages