remote
Data Analytics Engineer - Franciscan Health
Data Engineer
Design and build scalable data pipelines and data marts using Python, SQL, and Spark on AWS, enabling analytics teams to access clean, transformed data for insights and predictive modeling.
About the role
Key Responsibilities
- Design, develop, and maintain data pipelines that extract, transform, and load data into data marts, lakes, and warehouses.
- Collaborate with analytics developers and business analysts to understand data requirements and deliver high‑quality, reusable data assets.
- Implement and optimize ETL processes using Python, SQL, and Apache Spark on AWS services.
- Ensure data quality, consistency, and security across all data environments.
- Develop and test data architectures that support predictive and prescriptive modeling initiatives.
Requirements
- Proven experience building data pipelines with Python, SQL, and Spark.
- Strong knowledge of data warehousing concepts and AWS data services (Redshift, S3, Glue).
- Hands‑on experience with ETL tools and best practices for data quality and governance.
- Excellent problem‑solving skills and ability to work independently in a remote setting.
Skills
pythonsqlawsapache spark