Old National Bank-posted 3 months ago
$62,300 - $122,430/Yr
Full-time • Mid Level
Saint Louis Park, MN
1,001-5,000 employees
Credit Intermediation and Related Activities

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.

  • Design, development, and maintenance (enhancements and maintenance) of enterprise data products and pipelines.
  • Design and development of repeatable frameworks and functions to be leveraged by other data engineers within the bank.
  • Focus on Operational Excellence- ensuring we are monitoring, validating, and communicating the health and status of our data products.
  • Collaborate with Enterprise Architecture, Info Security and Data Governance organizations.
  • Confer with relevant team members where necessary. Study systems flow, data usage, and work processes.
  • Deliver functional data products that have been thoroughly tested.
  • Follow the development team's SDLC process. Accurately estimate time required to complete projects and tasks.
  • Meet mutually agreed upon deadlines for completion of modules throughout the program development.
  • Work closely with the existing platform owners to design, model, develop, and maintain existing and new objects/products required for all business solutions.
  • Bachelor's degree required.
  • Over 5 years of experience in data engineering, including developing ETL/ELT, data pipelines, data lakes, data warehouses, and data integration solutions.
  • Over 3 years of experience on data engineering teams, preferably in a financial services or banking domain.
  • 3-5 years' experience Cloud platforms (AWS, Azure, GCP, Databricks, Snowflake) Databricks preferred and Python programming or advanced SQL coding and performance tuning.
  • Experience in a product mindset, using agile frameworks such as Scrum or Kanban.
  • Expertise in building scalable, reliable, and secure data products and platforms, using metadata driven, event driven, and API driven approaches.
  • Experience in scripting tools such as Python.
  • Experience in orchestration tools or job schedulers, such as Azure Data Factory, Airflow, or Luigi.
  • Experience in data modeling/mastering, data quality, data governance, and data security standards and best practices.
  • Experience in code repositories and version control tools such as Azure DevOps, Git, etc.
  • Experience in analytical and data visualization tools such as Power BI, Tableau, or Qlik.
  • Experience in working with Salesforce data and digital banking data is a plus.
  • Very good working experience of T-SQL. Proficiency in complex stored procedures, user defined functions, and query optimization.
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401K
  • Continuing education opportunities
  • Employee assistance program
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