Snowflake Data Engineer, ETL & Pipeline Development
Overview
Owning the end-to-end data lifecycle in a lean team, you will design and build scalable pipelines in Snowflake and drive the migration away from legacy SSIS workflows. Reporting directly to business stakeholders, you will partner on architecture decisions and shape the long-term data strategy. With broad exposure across ingestion, modeling, and optimization, you will have immediate impact in a small, collaborative environment. This role stands out for its variety and the chance to modernize a cloud-based data ecosystem.
What You'll Do9
- 1Design and build scalable data pipelines in Snowflake for analytics and operations.
- 2Lead the migration of legacy SSIS workflows to modern cloud-based solutions.
- 3Perform end-to-end data ingestion from APIs, flat files, and third-party platforms.
- 4Develop and optimize ETL/ELT processes to support business needs.
- 5Partner with stakeholders to translate data requirements into reliable solutions.
- 6Monitor and troubleshoot data integration processes to ensure high uptime.
- 7Create and maintain data models and transformation logic in Snowflake.
- 8Support reporting and analytics for downstream consumers.
- 9Drive architecture discussions to shape the long-term data strategy.
Requirements9
- 15+ years in Data Engineering or ETL development.
- 2Hands-on experience with Snowflake.
- 3Advanced SQL skills for query optimization and development.
- 4Proven record of building end-to-end data ingestion pipelines.
- 5Experience developing and maintaining ETL/ELT solutions.
- 6Experience migrating or modernizing SSIS.
- 7Strong grasp of data warehousing concepts and dimensional modeling.
- 8Ability to integrate data from multiple internal and external sources.
- 9Skill in troubleshooting complex data issues and improving pipeline performance.
Salary Insight
$95 - $120k per year
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