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
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