Data Engineer Snowflake

• Design and develop data pipelines using Snowflake, SQL, Python, dbt, and Matillion.
• Build and maintain ELT/ETL frameworks and data integrations.
• Optimize Snowflake performance, scalability, and cost efficiency.
• Implement data quality, monitoring, and automation solutions.
• Support production incidents, troubleshooting, and root cause analysis.
• Collaborate with Architecture, Analytics, Platform Engineering, and Business teams.
• Follow SDLC, governance, security, and compliance standards.

problem - solving analytical skills query optimization

• Seeking a hands-on Data Engineer to develop, optimize, and support enterprise data solutions on the Snowflake platform.
• The role will focus on building scalable data pipelines, enabling data integration, supporting analytics and AI initiatives, and ensuring reliable, secure, and high-performing data products., * 5+ years of Data Engineering experience.
• Strong expertise in:
• Snowflake
• SQL & Query Optimization
• Python
• dbt
• Matillion
• Data Modeling & Data Warehousing
• Experience with GitHub, CI/CD, and production support.
• Strong problem-solving and analytical skills.

Preferred Skills:

• SnowPro Certification
• Experience with Fivetran, Striim, Control-M, AWS, or Salesforce integrations.
• Exposure to Snowflake Cortex, AI/ML enablement, and automation frameworks.

Key Competencies:

• Strong ownership and accountability.
• Automation and continuous improvement mindset.
• Excellent troubleshooting and RCA skills.
• Effective stakeholder communication and collaboration., * A highly skilled Data Engineer with strong Snowflake expertise who can build and support enterprise-grade data pipelines, drive modernization initiatives, and deliver reliable, scalable data solutions.

The pay range that the employer in good faith reasonably expects to pay for this position is $39.30/hour - $61.40/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.