Data Engineer - Data Engineering
First seen by Alion on Oct 15, 2026.
About Us :
CoffeeBeans Consulting is a premier tech consulting firm dedicated to empowering organizations to become AI-ready by optimizing their data across diverse sources.
Our expertise spans data architecture, pipelines, governance, MLOps, and cutting-edge Generative AI solutions.
Role Overview :
Join CoffeeBeans Consulting as a Data Engineer L2 and transform the future of data engineering in the Generative AI landscape.
In this pivotal role, you will design, develop, and maintain robust data pipelines using Python, SQL, Snowflake, and AWS, enabling our clients to harness the power of AI-driven insights.
Collaborate with cross-functional teams to deliver high-quality data solutions that support healthcare data ingestion and analytical needs.
Leverage AI-native development practices to enhance productivity and optimize data processing performance, making a significant impact in a rapidly evolving industry.
Key Responsibilities :
- Design, develop, and maintain scalable data pipelines using Python, SQL, Snowflake, and AWS.
- Build and support healthcare data ingestion, transformation, and analytical solutions.
- Collaborate with product, business, and QA teams to deliver high-quality data solutions.
- Optimize data processing performance, reliability, and data quality across production environments.
- Leverage AI-native development practices, including AI agents/tools for code generation, code reviews, and test case creation.
Required Qualifications :
- Experience building and maintaining scalable data pipelines and data integration frameworks.
Tech Stack :
- Python, SQL, Snowflake, AWS (S3, SNS, Glue), PySpark, Big Data technologies, Shell/Unix, Airflow, REST APIs, GitHub Actions, Jenkins, Splunk.
Preferred Skills :
- Experience with Snowpark for data processing.
Skills
Data Engineering, Python, SQL, AWS, PySpark, Big Data, Snowflake DB, Data Pipeline, Data Integration