Data Engineer

Our client is searching for a Data Engineer to join their team. The primary responsibilities of this role are to plan, design, develop, test, implement, and maintain efficient information systems with a primary focus on building scalable data pipelines, Lakehouse environments, semantic models, and governed datasets to support business intelligence and advanced analytics. You will apply proven communication, analytical, and problem-solving skills to help identify, plan, and implement integrations between disparate systems to maximize the benefit of business system investments. Frequent interaction is required with internal analysts, project leaders, as well as other internal and external stakeholders such as third-party software vendors. Responsibilities: Build and maintain Fabric Lakehouses, Data Warehouses, and OneLake storage layers. Develop Fabric Data Pipelines (Data Factory) for ingestion, transformation, orchestration, and automation. Create and optimize Spark notebooks for ETL/ELT workloads. Implement medallion architecture (bronze/silver/gold) within Fabric. Manage and monitor workloads using Fabric capacities, workspaces, and governance features. Build and maintain semantic models for reporting teams. Work closely with reporting developers (Power BI) to ensure performant data models. Optimize large-scale datasets for consumption and self-service analytics. Design, build, and maintain scalable and reliable data pipelines. Work with structured/unstructured data, Delta Lake, parquet, and data lake formats. Implement best practices for data quality, lineage, monitoring, and observability. Improve data performance through indexing, partitioning, caching, and optimization. Work with business stakeholders to gather requirements. Contribute to data governance and metadata management practices. Ensure the integrity and security of enterprise data on host computers and databases, and during data transfers, in accordance with business needs and industry best practices regarding privacy, security, and compliance. Conduct research on emerging products, services, protocols, and standards in support of systems software procurement and development efforts. Develop, document, and maintain policies, procedures, and associated training plans for system administration and appropriate use. Provide guidance and serve as an escalation to Help Desk. Recommend, schedule, and perform software and related system improvement, upgrades, patches, reconfigurations, and/or purchases.

College degree or equivalent experience in information technology. Related industry certifications are expected. Strong knowledge of API Integration & Development. Enterprise application integration and other middleware technologies, such as web services, databases, and application/content integration. Experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse). Familiarity with Azure Data Services (ADLS, Synapse, ADF, Databricks, etc.). Strong SQL development expertise. Experience with Microsoft SharePoint or similar collaboration tools. A highly qualified candidate would be familiar with some of the following: SharePoint Online, MS Power Automate, Power BI, Reporting Services, and Excel (Pivot Tables). Experience documenting and maintaining configuration and process information. Knowledge of applicable data privacy practices and laws. Strong interpersonal, written, and oral communication skills. Excellent time management and multitasking ability. Highly self-motivated and directed, with strong attention to detail. After hours and weekends, on-call availability. Reliable transportation and freedom to travel upon request.

401(k): Match and employer discretionary contribution. Health Insurance: Two options are available, including an HSA with a dollar-for-dollar match of up to $1,200 per year. Dental & Vision Insurance: Comprehensive coverage options. Financial Access: Credit Union membership is available. Insurance: Life Insurance, Short-Term Disability, and Long-Term Disability coverage. Educational Opportunities: Scholarships for employees’ spouses and children through the Ohio Machinery Education and Opportunity Foundation. Compensation: Base pay, annual bonus potential, and company success share bonuses. 3993 E. Royalton Rd Broadview Hts., OH 44147 Screening questions: Fabric: Q) What is a data lake vs data warehouse vs lakehouse? Data Lake: Stores raw data in any format for flexibility and scale. Data Warehouse: Stores structured, data optimized for analytics and reporting. Lakehouse: Combines data lake flexibility with data warehouse performance and governance. Q) Describe a basic Medallion architecture Bronze: Raw data Silver: Transformed data Gold: Final data for use directly in reports