Position Details
About this role
This role involves designing, implementing, and reviewing scalable data pipelines and models to support enterprise analytics and insights in a healthcare IT environment.
Key Responsibilities
- Design and maintain data pipelines
- Implement ETL/ELT processes in Snowflake
- Develop data models for business insights
- Evaluate data tooling and standards
- Ensure data quality and availability
Technical Overview
Proficiency in data pipeline tools like Snowflake, dbt, Airflow, Spark, and programming in Python. Focus on data modeling, quality, and performance tuning.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 3+ years of experience in building scalable data pipelines, proficient in Snowflake, Python, and data modeling. They should have strong collaboration skills and experience with modern data stack tools.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Snowflake or ETL pipelines, No proficiency in Python, Less than 3 years of relevant experience, No experience with data modeling or data quality
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile