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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Wintrust Financial - **Location:** Rosemont, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $86,700.0 - $128,100.0 - **Contract:** Permanent contract - **Skills:** Third Normal Form, Microsoft Azure, Information Systems, Computer Engineering, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mart, Data Transformation, Persistent Data Structure, Data Structures, Data Systems, Data Warehousing, Software Design Documents, Middleware, Python (Programming Language), Metadata, Object-Oriented Software Development, Query Optimization, SQL Databases, SQL Server Integration Services, Systems Integration, Data Processing, Scripting, System Availability, Build Management, Information Technology, Build Process, Physical Data Models, Data Delivery, Data Pipelines - **Published:** August 4, 2026 - **Apply:** https://www.jofdav.com/jobs/59071901-senior-data-engineer ## About the Role Requires a Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Engineering, Math, or a related field of study plus 7 years of experience in a related occupation. As an equivalent alternative, employer will also accept a Master's degree in Computer Science, Computer Engineering, Information Systems, Engineering, Math, or a related field plus 5 years of experience in a related occupation, * 5 years of experience in Data Engineering, designing, implementing data persistence, data processing, and data integration. * 5 years of experience in designing and building complete data pipelines moving and transforming data for ODS, Staging, Data Warehousing and Data Mart. * 5 years of experience in processing semi-structured and unstructured files using Microsoft SSIS and SQL. * 3 years of experience with medium-scale data and query optimization techniques. * Experience with Data Warehouse concepts, including 3NF and the Dimensional data model. * Experience in implementing and validating data lineage, quality checks, classification. * Experience in creating, enhancing, and supporting ETL/ELT processes to ensure business continuity, meet best-in-class standards and offer high performance. * Experience in analyzing the requirements, preparing technical specifications and detailed level design documents. * Experience in building CICD pipelines for data pipelines using Azure DevOps. ## Description * Design, develop, and continuously improve complex data systems. * Build processes supporting data transformations, data structures, metadata, dependency, and workload management. * Ensure data governance policies are followed by implementing and validating data lineage, quality checks, classification etc. * Support/enhance/create Daily/Monthly ETL/ELT processes to ensure business continuity, ensuring all related data pipelines meet best-in-class standards, offering high performance. * Create enterprise data sets for analytics and data scientist team members for advanced analytics. * Create Conceptual/Logical/Physical Data Models for all data solutions. * Seek opportunities to deliver continuous process improvement, automating manual processes and optimizing data delivery. * Analyze the requirements and prepare technical specifications and detailed level design documents. * Serve as a resource to internal and third-party team members on escalated issues and analyze and design specifications for less experienced team members. * Sees opportunities to deliver continuous process improvement, automating manual processes and optimizing data delivery. * Design, development, test, and implementation of best-in-class Data Processing solutions for the organization, including Data Modeling, Data Loading, Data delivery, Data availability, Performance, and Security. * Engage in all phases of the Data Enablement lifecycle and will be called upon to mentor less experienced team members as necessary. * Design and build complete data pipelines moving and transforming data for ODS, Staging, Data Warehousing and Data Marts, MDM, including Middleware Integrations. * Process semi structured and unstructured files using different traditional SQL and modern object-oriented scripting languages such as Python, etc. * Build CICD pipelines for data pipelines using Azure DevOps. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [JavaScript? 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