Key Skills: Snowflake, SQL Server, SSIS, AWS S3, Glue, DMS, Lambda, Tableau, Power BI, Alteryx, ETL/ELT, Data Migration, Data Warehousing, CI/CD, Cloud Data Engineering. Experience designing, developing, and supporting scalable data pipelines and analytics solutions.
Numbers & Facts
Location
Washington, DC (Remote)
Description
Snowflake Data Engineer
Location: Remote, Washington, DC
Duration: 4 months
Day-to-day Responsibilities:
Design, develop, and optimize data pipelines using Snowflake native capabilities.
Build and maintain ETL/ELT processes for data ingestion, transformation, and integration.
Support data migration initiatives from legacy systems to cloud-based platforms.
Develop and maintain database solutions using Microsoft SQL Server and SSIS.
Collaborate with business and technical teams to gather requirements and deliver high-quality data solutions.
Support reporting and analytics initiatives through integration with BI tools.
Implement and maintain CI/CD processes for code deployment and release management.
Ensure data quality, performance optimization, security, and documentation of data solutions.
Required Skills:
Strong hands-on expertise in Snowflake and cloud-based data engineering solutions.
Experience designing, developing, and supporting scalable data pipelines and analytics solutions.
Solid understanding of data warehousing, ETL/ELT frameworks, and data integration best practices.
Experience with Microsoft SQL Server and SSIS package development.
Proven experience with data migration projects and modernization initiatives.
Hands-on experience with BI and analytics tools, including Tableau, Power BI, and Alteryx.