Data Engineer; Short-Term Engagement

Overview

We are looking for 5+ years of overall data engineering experience, with expert-level hands-on experience in CData, Snowflake, and Looker schema development. As a senior data engineer, you will bring best practices for modern data architecture, data modeling, and analytics enablement, helping ensure that data pipelines and reporting layers are performant, scalable, and easy for business users to consume. Your expertise in data integration and modeling will be critical to the success of this short-term engagement and will directly impact the client’s ability to make data-driven decisions.

As a Data Engineer, you will work closely with technical and business teams to build and optimize data pipelines and analytics layers. You will be responsible for integrating multiple data sources using CData, transforming and modeling data within Snowflake, and creating structured, scalable Looker schemas to support reporting and insights.

• 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

• 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

• 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

• Duration: 4-5 weeks (40 hrs/week)
• Timezone: EST
• Client industry: manufacturing and distribution (related industry experience not required; the role is fully on the data side)

Join our team and help deliver a high-impact data solution that enables smarter decision-making and scalable analytics for our client.