Snowflake Developer

Job Title: Snowflake Developer Start Date: 03/24/2026 End Date: 07/21/2026 Est. Duration: 4 Months Contract Location: Houston TX 77042 Job Duties : THIS IS A PROJECT-BASED POSITION. THERE IS A POSSIBILITY THAT THIS INDIVIDUAL COULD CONVERT TO FULL-TIME IN THE FUTURE; HOWEVER, THIS IS NOT GUARANTEED. LOOKING FOR LOCAL CANDIDATES ONLY. SCHEDULE: 8 HOURS A DAY - FLEXIBLE ON START AND END TIME - 7AM TO 4PM OR 8AM TO 5PM HYBRID AVAILABLE: 3 DAYS ON-SITE AND 2 DAYS REMOTE PER WEEK TOP REQUIRED SKILLS: - HANDS-ON SNOWFLAKE SQL EXERIENCE - HANDS-ON PYTHON EXPERIENCE - PREVIOUS EXPERIENCE WITH SIGMA, QLIQVIEW, STREAMLIT, POWERBI, OR SIMILAR ANALYTICS APP DEVELOPMENT - AT LEAST 3 YEARS EXPERIENCE WORKING WITH ERP OR MRP DATA - ERP IMPLEMENTATIONS FOR FINANCE OR OPERATIONS AND BUINESS INTELLIGENCE EXPERIENCE ARE HIGHLY VALUED. - RAPID APPLICATION DEVELOPMENT (RAD) EXPERIENCE IS HIGHLY VALUED - THE TEAM WILL BE DOING AGILE SPRINTS TO MANAGE PROJECTS TO DEVELOP ANALYTICS AND CODE WITH DAILY TOUCH-BASES, WEEKLY SPRINT PLANNING, AND AD-HOC ADDITIONAL MEETINGS AS NEEDED. SOME AGILE PROJECT FAMILIARITY WOULD BE HELPFUL. HIRING PROCESS: 2 ROUNDS OF VIRTUAL INTERVIEWS BEFORE AN OFFER WILL BE EXTENDED. THIS IS AN URGENT NEED, SO THE CANDIDATE MUST HAVE IMMEDIATE AVAILABILITY TO START IF SELECTED FOR HIRE. JOB ROLE: Principal Demand Planning & Supply Chain Data Analytics Consultant Role: Hands-on advanced python, SQL, and full-stack data analytics developer with manufacturing and supply chain process impact experience. JOB SUMMARY: Seeking a hands-on advanced python, SQL, and full-stack data analytics developer with manufacturing and supply chain process impact experience. QUALIFICATIONS: DEEP TECHNICAL EXECUTION SKILLS - Advanced Python + Snowflake SQL - Snowflake architecture & migration across environments - Interactive visualizations (PowerBI, SIGMA, Qliqview, or Streamlit) - GitHub automation & CI/CD - Cloud-native deployments - Containerization - API/service-account design - TDD & rollback strategies - Large-scale relational data wrangling BUSINESS PROCESS FLUENCY (Manufacturing / Supply Chain) - ERP and MRP systems and data structures - Understanding of operational workflows in manufacturing and supply chain (Order-to-cash, Procure-to-pay, Demand-to-deliver) - Enterprise-scale process understanding COMMUNICATIONS AND IMPACT - Translating business requirements into technical delivery and technical issues into business impacts - ROI-driven analytics - Multi-geography experience - Demonstrated business impact JOB REQUIREMENTS: - Five or more years of professional data science experience in manufacturing and/or supply chain environments - Hands-on experience working with ERP data and operational processes including order-to-cash, procure-to-pay, and demand-to-deliver - Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences - Advanced proficiency in Python and SQL; experience wrangling large relational datasets - Strong proficiency with Snowflake as a data platform - Strong proficiency in dashboarding and interactive visualizations, including Power BI, SIGMA, Qliqview, or Streamlit - Experience deploying enterprise-scale solutions in cloud environments - Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly - Familiarity with agile development best practices (model training and validation), CI/CD pipeline implementation - Able to implement and manage GitHub repositories and automations, including developing automated github workflows to move python projects and Snowflake development (queries, procedures, data structures, and data) from dev to test to prod environments. - Demonstrated ability to drive business impact and ROI through analytics - Capable of executive-level communication and influence - Experience leading cross-functional teams across multiple geographies - Demonstrated ability to translate business requirements into technical projects that accomplish business objectives and achieve business value - Experience developing and deploying scalable enterprise-grade containerized solutions, interactive front-ends, and back-ends using service accounts, APIs, safe handling of developer keys, and development best practices. - Experience with test-drive development (TDD), deploying projects safety into production with roll-back options, and other common development best practices TOP REQUIRED SKILLS: - HANDS-ON SNOWFLAKE SQL EXERIENCE - HANDS-ON PYTHON EXPERIENCE - PREVIOUS EXPERIENCE WITH SIGMA, QLIQVIEW, STREAMLIT, POWERBI, OR SIMILAR ANALYTICS APP DEVELOPMENT - AT LEAST 3 YEARS EXPERIENCE WORKING WITH ERP OR MRP DATA - ERP IMPLEMENTATIONS FOR FINANCE OR OPERATIONS AND BUINESS INTELLIGENCE EXPERIENCE ARE HIGHLY VALUED. - RAPID APPLICATION DEVELOPMENT (RAD) EXPERIENCE IS HIGHLY VALUED - THE TEAM WILL BE DOING AGILE SPRINTS TO MANAGE PROJECTS TO DEVELOP ANALYTICS AND CODE WITH DAILY TOUCH-BASES, WEEKLY SPRINT PLANNING, AND AD-HOC ADDITIONAL MEETINGS AS NEEDED. SOME AGILE PROJECT FAMILIARITY WOULD BE HELPFUL. QUALIFICATIONS: DEEP TECHNICAL EXECUTION SKILLS - Advanced Python + Snowflake SQL - Snowflake architecture & migration across environments - Interactive visualizations (PowerBI, SIGMA, Qliqview, or Streamlit) - GitHub automation & CI/CD - Cloud-native deployments - Containerization - API/service-account design - TDD & rollback strategies - Large-scale relational data wrangling BUSINESS PROCESS FLUENCY (Manufacturing / Supply Chain) - ERP and MRP systems and data structures - Understanding of operational workflows in manufacturing and supply chain (Order-to-cash, Procure-to-pay, Demand-to-deliver) - Enterprise-scale process understanding COMMUNICATIONS AND IMPACT - Translating business requirements into technical delivery and technical issues into business impacts - ROI-driven analytics - Multi-geography experience - Demonstrated business impact