Data Engineer - Snowflake

Overview A growing, multi-site service organization is seeking a Data Engineer to build a modern data foundation. A recently hired CFO is leading operational and systems improvements. Current systems are fragmented and heavily manual. This project will establish a scalable Snowflake-based data stack to unify data across HR, CRM, and finance systems and support future analytics. Key Responsibilities • Design and build end-to-end data pipelines (ETL/ELT) using Fivetran or similar • Implement and manage Snowflake data warehouse architecture • Develop transformation layers using DBT (bronze → silver models) • Integrate data from HRIS, CRM, corporate card, and AP systems • Clean, normalize, and model multi-source data for downstream BI use • Partner with finance and operations to ensure data accuracy and usability Ideal Candidate • Data Engineer with hands-on experience in Snowflake, DBT, and ETL tools (Fivetran preferred) • Strong background in multi-source data integration and modeling • Experience working with SaaS business systems (HRIS, CRM, finance) • Pragmatic, execution-oriented; comfortable in a build-from-scratch environment • Able to operate independently in an early-stage data function Project Details Start: May Duration: 2 to 3 weeks Time commitment: 30 to 40 hours per week Location: Remote. Must be based in the U.S. Expected rate: US$75 – US$100 / hour Project ID#: 8719 This is a 1099 contract project that does not offer health benefits