Data Engineer - Snowflake

Join a high-impact analytics initiative and build cutting-edge data solutions that drive real business outcomes. Work on complex supply chain challenges while leveraging modern cloud technologies in a fast-paced, innovation-focused environment. Primary Services is actively recruiting for a Data Engineer to support a large, industry-leading organization. This role offers the opportunity to work as a hands-on technical expert, developing advanced data solutions that directly influence manufacturing and supply chain operations. The position requires a strong blend of data engineering expertise, business intelligence, and operational insight to deliver scalable, enterprise-grade analytics platforms. Responsibilities • Develop and optimize Snowflake-based data architectures, pipelines, and data models. • Build advanced data solutions using Python and Snowflake SQL for large-scale datasets. • Design and deploy interactive dashboards and analytics applications using tools such as Power BI, Sigma, QlikView, or Streamlit. • Translate business requirements into scalable technical solutions that drive measurable outcomes. • Integrate and transform ERP and MRP data to support supply chain and operational analytics. • Support full lifecycle development including design, testing, deployment, and maintenance. • Implement CI/CD pipelines and GitHub automation for code and data migrations across environments. • Develop APIs and manage service accounts for secure and scalable data access. • Deploy cloud-native and containerized solutions for enterprise analytics platforms. • Participate in Agile sprint cycles including daily stand-ups and sprint planning sessions. • Ensure data integrity, performance optimization, and adherence to development best practices. • Collaborate with cross-functional stakeholders across multiple geographies. Qualifications • Bachelor’s degree or higher in a relevant field. • Minimum of 5 years of professional experience in data engineering, data science, or analytics. • Advanced proficiency in Python and Snowflake SQL. • Strong experience with Snowflake architecture, optimization, and environment migrations. • At least 3 years of experience working with ERP or MRP systems and data structures. • Experience with manufacturing or supply chain processes including order-to-cash, procure-to-pay, and demand-to-deliver. • Proficiency with data visualization tools such as Power BI, Sigma, QlikView, or Streamlit. • Experience with large-scale relational data processing and data wrangling. • Hands-on experience with CI/CD pipelines, GitHub automation, and version control. • Experience deploying solutions in cloud environments using containerization technologies. • Familiarity with API development, service accounts, and secure key management practices. • Experience with test-driven development (TDD) and production deployment strategies with rollback capabilities. • Experience with Agile development methodologies and sprint-based project execution. • Proven ability to deliver ROI-driven analytics and enterprise-level data solutions.