Jobs › Wintrust

Senior Data Engineer

Wintrust · Rosemont, IL

Posted Aug 3, 2026 · We last checked this listing on Oct 6, 2026

Apply at Wintrust

Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a data pipeline you designed that handled complex transformations. What made it reliable?

What they are checking: Whether they have built production pipelines with error handling, monitoring and recovery, not just scripts.

Tell me about a time you made a slow query or pipeline much faster.

What they are checking: Whether they can diagnose performance issues with real evidence rather than guesswork.

This role is hybrid with one day a week in Rosemont. How do you keep collaboration strong when you're mostly remote?

What they are checking: Whether they communicate proactively and make good use of in-person time.

What would you do

A nightly job fails and the morning finance report is due in two hours. What do you do?

What they are checking: Whether they triage quickly, communicate with consumers and fix root cause afterward.

How do you work with analysts who keep requesting one-off extracts?

What they are checking: Whether they can build reusable data products instead of becoming a ticket queue.

About the work

How would you implement data quality checks so bad data doesn't reach downstream reports?

What they are checking: Whether they know how to validate at ingestion and transformation and block or flag failures.

How do you capture data lineage, and why does it matter at a bank?

What they are checking: Whether they understand that regulators and auditors need to trace numbers back to their source.

How do you manage dependencies and workloads when dozens of jobs feed each other?

What they are checking: Whether they can orchestrate scheduling, retries and backfills without cascading failures.

How do you handle sensitive fields like account numbers or Social Security numbers in a pipeline?

What they are checking: Whether they apply classification, masking and access controls as part of data governance policy.

Walk me through how you'd model a table that tracks how customer balances change over time.

What they are checking: Whether they understand slowly changing dimensions and history tracking for financial data.

Practice this interview out loud.

Offer builds a real interview for this exact role at Wintrust from your resume and this job description, asks the questions one at a time, and tells you what landed. The first one is free.

Practice this out loud

The full job description

As published by Wintrust.

Wintrust provides community and commercial banking, specialty finance and wealth management services through its 16 bank charters and nine non-bank businesses. Wintrust delivers the sophisticated solutions of a large bank while staying true to the relationship-focused, personalized service of our community banking roots. We serve clients in all 50 states with more than 200 branch banking locations in Illinois, southwestern Florida, northwestern Indiana, west Michigan and southern Wisconsin and commercial banking offices in Chicago, Denver, Milwaukee, Grand Rapids, Mich., and in key branch banking locations throughout Illinois. Our people are the heart of our business and we are proud to rank consistently as a top place to work. Wintrust is a $66 billion financial institution based in Rosemont, Illinois, and listed on the NASDAQ Global Select Market under the symbol “WTFC.” Location: Job location –Rosemont, IL- Hybrid position with some telecommuting flexibility, but requirement to physically be in the Rosemont, IL office once a week. Responsibilities: • 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. Requirements: 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 The position also requires: • 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. Compensation The salary for this role is $160,555.00, along with eligibility to earn an annual bonus. From our first day in business, Wintrust has been proud to serve a variety of unique communities and people from all walks of life. To build a company that reflects the communities we serve, we believe that fostering a unique and inclusive workplace where everyone feels valued and empowered to succeed will support our ongoing success. Wintrust Financial Corporation, including community banking and financial services subsidiaries, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

Apply at Wintrust

More senior data engineer roles