Snowflake Data Engineer
Pinnacle Talent Placement · United States
- On site
- Contract
- United States
Tailored resume — keyword-matched to this role.
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About the role
Snowflake Data Engineer
Status: Are you legally eligible to work where you live? We are not able to sponsor VISAs
Resume must be in English
Location: Remote
Engagement: Contract, Long Term, Full Time
Snowflake Data Engineer
We are seeking a Snowflake Data Engineer who combines strong engineering discipline, analytical thinking, and a bias for ownership to our growing data platform team.
Key Responsibilities:
- Design and implement scalable ETL/ELT pipelines using Snowflake-native features including Tasks, Streams, Dynamic Tables, and Stored Procedures
- Write clean, efficient Python and Snowpark code for pipeline development, automation, and data processing
- Explore and implement Snowflake Native Apps and other Snowflake-native capabilities to extend platform functionality
- Analyze and profile large datasets to identify quality issues, lineage gaps, and optimization opportunities
- Build and maintain robust data models that support downstream BI and analytics consumption in Power BI
- Monitor pipeline health, troubleshoot failures, and ensure data reliability and freshness
- Leverage AI-assisted coding tools and agentic development workflows to improve productivity and code quality
- Collaborate with BI developers, analysts, and stakeholders to understand and deliver on data requirements
- Document data flows, transformations, and lineage for maintainability and governance
What We’re Looking For:
- 5+ years of experience in data engineering with deep hands-on Snowflake expertise
- Strong proficiency in Snowpark (Python), SQL for data transformation and pipeline development
- Solid experience with Snowflake-native features — Tasks, Streams, Dynamic Tables, Stored Procedures
- Exposure to or keen interest in Snowflake Native Apps framework, Streamlit
- Strong Python skills for automation, scripting, and data processing
- Familiarity with AI-assisted development tools (e.g., Claude, Cortex, or similar) and agentic coding practices
- Strong analytical mindset with attention to data quality and governance
- Highly accountable, proactive communicator who takes end-to-end ownership