
201 - 500 employees
Founded 2019
👥 HR Tech
🎯 Recruiter
🤝 B2B
HR Tech • Recruitment • B2B
Shyft6 is a trusted partner for innovative companies, specializing in workforce solutions that encompass staffing and recruiting, workforce management, and human capital strategy. With over 26 years of combined experience, Shyft6 offers a comprehensive range of services including contingent workforce supplier management, recruitment process outsourcing, staff augmentation, executive search, and multi-state payroll. Their focus is on empowering organizations through effective workforce development and project management, ensuring successful delivery and skilled talent acquisition.
đź•’ April 9
🇺🇸 United States – Remote
đź’µ $170k - $225k / year
⏰ Full Time
đźź Senior
đź”´ Lead
đźš° Data Engineer
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201 - 500 employees
Founded 2019
👥 HR Tech
🎯 Recruiter
🤝 B2B
HR Tech • Recruitment • B2B
Shyft6 is a trusted partner for innovative companies, specializing in workforce solutions that encompass staffing and recruiting, workforce management, and human capital strategy. With over 26 years of combined experience, Shyft6 offers a comprehensive range of services including contingent workforce supplier management, recruitment process outsourcing, staff augmentation, executive search, and multi-state payroll. Their focus is on empowering organizations through effective workforce development and project management, ensuring successful delivery and skilled talent acquisition.
• Design and implement scalable, cloud-based data architectures across AWS and Azure • Develop and maintain enterprise data models (conceptual, logical, and physical) • Build and optimize data pipelines (ETL/ELT) to support analytics, reporting, and AI/ML use cases • Architect solutions that integrate data from multiple sources, including CRM systems (DealCloud) and third-party platforms • Partner with analytics teams to enable reporting through Tableau and Power BI • Define and enforce data governance, quality, and security standards • Design data frameworks to support AI/ML workloads, including feature engineering and model-ready datasets • Collaborate with application architects and engineers to ensure seamless data integration within applications • Optimize performance of data warehouses, data lakes, and real-time data processing systems • Evaluate and recommend tools and technologies to enhance the data ecosystem
• 7+ years of experience in data architecture, data engineering, or related roles • Strong experience with cloud data platforms (AWS and/or Azure) • Expertise in data modeling, data warehousing, and data lake architecture • Hands-on experience with ETL/ELT tools and data pipeline design • Experience supporting BI tools such as Tableau and Power BI • Strong SQL skills and experience with at least one programming language (Python preferred) • Experience integrating data from CRM platforms (DealCloud or similar) • Understanding of data governance, data quality, and security best practices
Apply Nowđź•’ April 7
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