remote
Associate Data Platform Engineer - Huron Consulting Group
Data Engineer
Build and maintain scalable data pipelines and platforms for healthcare clients, leveraging Python, SQL, AWS, Snowflake, and Airflow to enable reliable analytics and reporting.
About the role
Key Responsibilities
- Design, develop, and operate end‑to‑end data pipelines that ingest, transform, and load large volumes of clinical and operational data.
- Implement and manage cloud‑based data storage and processing solutions on AWS, including S3, Redshift/Snowflake, and related services.
- Develop and maintain workflow orchestration using Apache Airflow, ensuring reliable scheduling, monitoring, and alerting.
- Collaborate with data analysts, scientists, and business stakeholders to translate requirements into robust data models and schemas.
- Optimize query performance and data architecture for cost‑effective, high‑throughput analytics.
Requirements
- Strong programming skills in Python and proficiency with SQL for data manipulation.
- Hands‑on experience with AWS services (e.g., S3, Lambda, Glue) and modern data warehouses such as Snowflake or Redshift.
- Experience building and maintaining ETL pipelines and workflow orchestration using tools like Apache Airflow.
- Understanding of data modeling, schema design, and best practices for data quality and governance.
- Ability to work in an Agile environment, communicate technical concepts clearly, and solve complex data problems.
Skills
pythonsqlawssnowflake