Job Description
The Data Engineer will design, develop, and maintain robust, scalable, and efficient ETL data pipelines using various programming languages (e.g., Python, SQL) and data processing frameworks. They will implement data quality checks, monitoring, and alerting for all data pipelines to ensure data integrity and reliability. This role will optimize existing data pipelines for performance, cost-efficiency, and error handling, as well as contribute to the design, development, and maintenance of data warehouse and data lake solutions, including schema design, data modeling, and indexing strategies. They will manage and optimize data storage solutions (e.g., Snowflake, Redshift, BigQuery) for optimal query performance and cost-effectiveness, ensuring data security and compliance within the data warehouse environment. The Data Engineer will also work closely with data analysts, data scientists, and business intelligence developers to understand their data requirements and provide access to reliable, high-quality data.
About InStride Health
InStride Health’s mission is to deliver specialty anxiety and OCD care that works for every kid, teen, young adult, and family who needs it.