Data Engineer - Snowflake/Python
First seen by Alion on Oct 23, 2026.
About the Role :
We are looking for an experienced Data Engineer with strong expertise in Snowflake, dbt, SQL, and Python/PySpark to design, develop, and optimize scalable data pipelines and cloud-based data warehouse solutions.
Responsibilities :
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Build and manage data transformation models using Snowflake and dbt.
- Write complex SQL queries and optimize query performance and warehouse utilization.
- Develop data processing solutions using Python and/or PySpark.
- Design and optimize data models to support analytics and business requirements.
- Integrate data from multiple sources while ensuring data quality, consistency, and reliability.
- Leverage AWS or Azure services to build and maintain cloud-based data solutions.
- Monitor pipeline performance, troubleshoot failures, and resolve data processing issues.
- Collaborate with business, analytics, and engineering teams to deliver reliable data solutions.
- Follow best practices for code quality, data security, performance, and maintainability.
Requirements :
- 6 - 10 years of experience in data engineering or a related field.
- Strong hands-on experience with Snowflake and SQL.
- Experience with dbt for data transformation and model development.
- Proficiency in Python and/or PySpark.
- Strong understanding of data warehousing, data modeling, and ETL/ELT processes.
- Experience with AWS or Azure cloud services for data engineering.
- Proven experience developing, maintaining, and optimizing scalable data pipelines.
- Strong analytical, troubleshooting, and problem-solving skills.
Skills
Data Engineering, Snowflake DB, Data Build Tool, SQL, Python, PySpark, Data Pipeline, Data Modeling, Data Quality, Cloud