Data Engineer (Short-Term Engagement)

Serverless Guru LLC. • Wilmington, DE

1d

About The Position

We are looking for a Data Engineer with 5+ years of overall data engineering experience, specifically with expert-level hands-on experience in CData, Snowflake, and Looker schema development. As a senior data engineer, you will apply best practices for modern data architecture, data modeling, and analytics enablement to ensure data pipelines and reporting layers are performant, scalable, and easily consumable by business users. Your expertise in data integration and modeling is crucial for this short-term engagement, directly impacting the client’s ability to make data-driven decisions. In this role, you will collaborate closely with technical and business teams to build and optimize data pipelines and analytics layers. Your responsibilities will include integrating multiple data sources using CData, transforming and modeling data within Snowflake, and creating structured, scalable Looker schemas to support reporting and insights.

Requirements

• 5+ years of overall data engineering experience
• Expert-level experience with CData (connectors, integrations, and data ingestion)
• Strong expertise in Snowflake (data modeling, performance tuning, ETL/ELT)
• Extensive experience building Looker schemas (LookML)
• Strong SQL skills and experience working with large datasets
• Experience designing and implementing end-to-end data pipelines
• Familiarity with data integration patterns and best practices
• Experience working in Agile development environments
• Strong problem-solving and communication skills

Nice To Haves

• Experience with BI tools beyond Looker
• Familiarity with modern data stack tools
• Experience with data governance and data quality frameworks
• Exposure to cloud-based data ecosystems
• Experience with manufacturing or distribution data

Responsibilities

• Design, build, and optimize data pipelines using CData connectors
• Ingest and transform data into Snowflake for analytics and reporting
• Develop and maintain scalable data models within Snowflake
• Build and optimize Looker schemas (LookML) for business intelligence use cases
• Ensure data quality, consistency, and reliability across systems
• Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions
• Troubleshoot and resolve data pipeline and modeling issues
• Implement best practices for data governance, performance optimization, and scalability

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 11-50 employees