University Bank - Data Engineer

University Bank - Data Engineer In order to use this site, it is necessary to enable JavaScript. Here are the instructions how to enable JavaScript in your web browser . All Jobs > Data Engineer University Bank Apply Data Engineer Remote Worker - N/A Apply Description General Job Summary The Data Engineer will play a pivotal role in building a modern, scalable data platform to support Midwest Loan Services’ transformation into a cloud-first, API-first enterprise. This role is responsible for developing secure and reliable data ingestion pipelines, curating data for analytics, and enabling real-time data integration. As the enterprise moves from legacy integrations to event-driven and API-based models, the Data Engineer will actively support modernization of the data ecosystem across the bronze, silver, and gold layers. Summary of Essential Job Functions Design and implement scalable data pipelines in Azure using Databricks, Spark, Delta Lake, DBT, Dagster, Airflow, and Parquet. Develop data ingestion workflows from multiple sources (e.g. SFTP, vendor APIs) into Azure Data Lake. Build and maintain Bronze/Silver/Gold layer transformations within a medallion architecture. Implement data quality, data deduplication, and validation logic across ingestion layers. Develop parameterized and reusable notebooks for batch and streaming jobs. Create robust merge/update logic into Delta Lake using optimized key-based partitioning. Collaborate with business and application teams to identify data integration requirements. Support integration with downstream APIs, Power BI models, and SQL-based reporting. Implement monitoring, logging, and lineage for data pipelines using tools like Unity Catalog and Azure Monitor. Participate in code reviews, technical design discussions, and backlog grooming. SQL Server Development & Optimization – Develop, optimize, and maintain SQL Server stored procedures, functions, views, and indexing strategies to ensure high-performance data processing. ETL & Data Integration – Design and manage ETL/ELT processes using SQL Server Integration Services (SSIS) and SQL batch jobs to extract, transform, and load data efficiently. Core Development Stack Languages & Frameworks: Python, C#, .NET Core, SQL, T-SQL Database & ETL: SQL Server, SSIS, SSRS, Power BI API Development: ASP.NET Core Web API, RESTful APIs Cloud & Data Services (Future Roadmap): Azure Data Factory, Azure Functions, Azure Databricks, Azure SQL Database, Azure Data Lake, Azure Storage, and other supporting services. Streaming & Big Data (Future Roadmap): Delta Lake, Databricks, Kafka (preferred but not required) Data Governance & Security: Data integrity, performance optimization, access control, compliance, best practices Project & Collaboration Tools: Jira, Confluence, Visio, Smartsheet Requirements Education, Training and Work Experience Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience) 5+ years of hands-on experience building data pipelines and distributed data systems Strong experience in Databricks, Delta Lake, and Azure-based big data tools Experience with financial or regulated data environments preferred Familiarity with version control (Git), CI/CD practices, and agile delivery Experience in the mortgage servicing or mortgage lending industry is a plus. Knowledge, Skills, and Abilities SQL Server & Database Management – Expertise in T-SQL, stored procedures, indexing, performance tuning, and query optimization. Strong understanding of data ingestion patterns and partitioning strategies Proficient in PySpark/SQL with a focus on performance tuning Solid grasp of modern data lake architecture and structured streaming Excellent problem-solving and debugging skills. Ability to collaborate with business, product, and technology teams. Strong communication skills and documentation discipline. Working Environment Primary working environment is within an indoor climate-controlled office space and/or a private home office or some combination which will be at managements sole discretion. Employee may be subject to florescent lighting, dust, and other normal indoor allergens. Employee may work in close proximity of coworkers and occasionally independently in quiet environments. Physical Requirements Able to lift up to 20 pounds May be exposed to extended periods of interaction with others (listening/talking/taking notes) Extended periods of sitting (at computer desk) Complete repetitive tasks (including operation of computer mouse/keyboard) Disclaimer The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. The salary range for this role takes into consideration a wide range of factors including but not limited to the duties of the role, experience, location, and certificates and/or education. The target pay range for this position is between $110,000-$150,000 per year. **University Bank is an Equal Opportunity / Affirmative Action Employer** Apply View All Jobs Powered by Payroll & HR Software