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

• 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 engineerin