We are looking for a skilled Financial Analyst to join our team in Zeeland, Michigan. In this role, you will play a pivotal part in analyzing financial data, preparing cost estimates, and providing insights to guide strategic decision-making. This position offers an excellent opportunity to leverage your expertise in financial modeling and forecasting within a collaborative and dynamic environment.<br><br>Responsibilities:<br>• Develop cost estimates and quotes for new programs, ensuring accuracy and alignment with financial goals.<br>• Conduct in-depth analysis to understand complex cost structures and provide actionable insights.<br>• Perform ad-hoc financial analyses and reports to support business needs.<br>• Evaluate variances against forecasts and deliver detailed analysis to stakeholders.<br>• Research cost trends to recommend rates and costs for upcoming forecasts.<br>• Lead initiatives aimed at improving financial processes and efficiency.<br>• Maintain and update financial files and databases, ensuring data integrity.<br>• Contribute to strategic initiatives by providing financial input and recommendations.<br>• Oversee budgeting and forecasting activities, including volume projections using industry tools.<br>• Provide backup support for accounting functions as needed.
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.