Intern - Associate Solutions Engineer - Data Warehouse

Midland States Bank•St. Louis, MO
•Onsite

About The Position

The Associate Solution Engineer – DW Intern will provide assistance to the Data Engineering Department with initiatives focused on version control, deployment processes, and preparing data and data models for AI-enabled processes. At Midland States Bank, we believe that when we can bring our whole selves to work each day, we become happier, more comfortable, more confident, and more excited to do great things for our customers, each other and our company. We’re proud to be an Equal Opportunity and Affirmative Action employer. At Midland, we recruit, employ, train, compensate and promote without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you are looking for a place to grow, we encourage you to apply at Midland States Bank, because you belong here.

Requirements

  • The internship will run for Summer of 2027 beginning mid-May and ending early August.
  • Able to work a 40-hour work week, Monday-Friday, between 8 a.m. and 5 p.m.
  • Must reside local to Effingham, IL or St. Louis, MO and report to the assigned office.
  • Enrolled in a degree program with courses of study including Computer Science, Information Technology, Data Analytics, Software Development, or a related field at a college or university with at least 2 years completed.
  • Coursework or experience with SQL.
  • Coursework or experience with Python or a similar programming or scripting language.
  • Software development coursework.
  • Exposure to or interest in generative AI.
  • Works well in team environment.
  • Excellent written and oral communication skills.
  • Proficient in Microsoft Excel and Teams.
  • Demonstrates ability to learn and use new software and programs.

Responsibilities

  • Assist with version controlling Data Engineering code to strengthen auditability and deployment processes.
  • Support efforts to enable AI processes within the deployment pipeline and improve deployment processes.
  • Assist with exposing data models for use by AI models.
  • Gain hands-on experience with ETL development and scripting languages such as PowerShell and Python.
  • Use SQL and other technical tools while supporting Data Engineering work.
  • Support team items that provide opportunities to interface with other IT teams and business units.
  • Participate in shadowing opportunities with the Database team and collaborate with Data Engineering team members.
  • Develop an understanding of how data flows through the organization and enables downstream reporting and business decision-making.
  • Learn how data quality can impact reporting and downstream processes.
  • Practice translating technical requirements across upstream and downstream stakeholders.
  • Perform other duties as assigned.
  • Maintain compliance with all applicable regulations including, but not limited to, the Bank Secrecy Act (BSA).

Benefits

  • Comprehensive healthcare
  • Well-being benefits
  • Paid family leave
  • Generous paid time off
  • Banking perks
  • Employee Stock Purchase Plan
  • 401K plan with company match
  • Opportunity to participate in our Non-Qualified Deferred Compensation plan
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service