Data Warehouse & BI Engineer

Our client, a Business Manufacturing And Supply company, is looking for a Data Warehouse & BI Engineer for their Charlotte, NC/ Corning, NY/Hybrid location.
 
Responsibilities:

• The Data Warehouse & BI Engineer supports client’s manufacturing environment by leading the design, development, and delivery of data warehouse, reporting, and analytics solutions that drive operational visibility and business decision-making. This role is responsible for the full solution lifecycle, including requirements gathering, architecture and design, development, testing, deployment, and ongoing support.
• This is a hands-on role for a technically strong professional who can work across business and technology teams to translate complex requirements into scalable, reliable, and high-value solutions. The ideal candidate brings strong expertise in data warehousing, SQL development, ETL, and reporting, along with a passion for building data solutions that support manufacturing operations, improve performance, and enable informed decisions.
• Lead the end-to-end delivery of data warehouse, reporting, and analytics solutions, including requirements gathering, solution design, development, testing, implementation, and support.
• Design, develop, and maintain high-quality data warehouse and business intelligence solutions that support manufacturing and enterprise priorities.
• Partner with business stakeholders and technology teams to understand requirements, define solution approaches, and deliver impactful data and reporting capabilities.
• Develop and maintain T-SQL procedures, functions, queries, and scripts to support data integration, reporting, and analytics needs.
• Design, build, and support ETL processes for the intake and transformation of data from manufacturing and other enterprise systems.
• Research, analyze, and troubleshoot data issues, stored procedures, and associated SSRS or Power BI reports.
• Collaborate with the DBA team to assess server health, database performance, and query optimization opportunities; recommend and implement improvements such as indexing and query tuning.
• Develop and support data migration procedures and scripts as needed for project and operational initiatives.
• Contribute to the development and ongoing evolution of data warehouse architecture, ensuring solutions are scalable, maintainable, and aligned with best practices.
• Ensure data warehouse and analytics code is maintained in version control and developed in accordance with SDLC standards.
• Support operationally critical work and project timelines, including flexibility to work hours needed for global support when required.

• Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related technical field.
• 5+ years of experience designing, developing, and supporting Data Warehouse and Business Intelligence solutions.
• 5+ years of experience with Microsoft BI technologies, including SQL Server, SSRS, SSIS, and SSAS.
• Strong experience with T-SQL development, including stored procedures, functions, performance tuning, and query optimization.
• Experience developing data warehouse, ETL, and end-user reporting solutions, including Power BI or similar dashboard/reporting tools.
• Experience working within a Software Development Lifecycle (SDLC) process.
• Strong analytical, problem-solving, and troubleshooting skills.
• Ability to work effectively with both technical and non-technical stakeholders and manage multiple priorities in a fast-paced environment.
• Experience using Agile project methodologies.
• Experience supporting manufacturing or factory floor systems and processes.
• Familiarity with Camstar or other Manufacturing Execution Systems (MES).
• Experience with manufacturing-related systems such as MES, CMMS, SPC, and OSI PI, including knowledge of their underlying data models.
• Knowledge of industry best practices in data warehousing, business intelligence architecture, and analytics delivery.
• Experience working with relational databases in Microsoft SQL Server and Oracle.
• Experience using TFS, GitLab, or similar source control platforms.
• Understanding of cubes and complex reporting or information models.
• Clear understanding of OLTP and OLAP systems.
• Experience supporting analytics or reporting solutions in a regulated or operationally sensitive environment.

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities