Wondr Health is looking to build and operate real-time, event-driven data solutions using modern cloud-native tools to support analytics, operations, reporting, and data science use cases.
Requirements
- Proficient in Python for data transformation and scripting.
- Strong experience with SQL, especially within Redshift or similar MPP databases.
- Hands-on experience with dbt (data build tool) for transformation and modeling.
- Expertise with AWS services including Glue, Lambda, S3, and Step Functions.
- Experience building ELT pipelines and event-driven data architectures.
- Familiarity with Git, CI/CD workflows, and automated testing frameworks.
- Thorough knowledge of relational and NoSQL database theory and practice as well as familiarity with a variety of databases
Responsibilities
- Design, develop, and maintain robust, scalable, and performant data pipelines using AWS (Glue, Lambda, S3, etc.), dbt, and Python.
- Model and transform raw data into clean, testable dbt datasets for analytics and reporting use.
- Build and maintain an AWS-based data lake and Redshift-based data warehouse infrastructure.
- Develop and maintain automated data quality and testing frameworks.
- Implement event-driven architectures and near real-time processing pipelines.
- Optimize data workflows for performance, cost-efficiency, and scalability.
- Ensure proper documentation of data models, data flows, and business logic.
Other
- Self-starter who can handle several work items independently
- Eagerness to learn new technologies and technology tools
- Results-driven/detail-oriented
- Excellent oral and written communication skills
- Bachelor’s degree in computer science, analytics, information systems or a related field preferred
