Old National Bank
Overview
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. Responsibilities
Design, build, and optimize scalable data pipelines and products using Azure, AWS, Databricks, and Python. Develop modern cloud-based data solutions that support analytics, reporting, system integrations, and AI/ML. Leverage Python and SQL for automation and data processing while ensuring reliability, security, and performance across platforms. Work closely with analysts, data scientists, and business stakeholders to deliver high-quality and efficient data solutions. Salary
The salary range for this position is $62,300 – $122,430 per year. The base salary indicated reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on factors including responsibilities, candidate skills and experience, educational qualifications, and geographic location. Key Qualifications
Bachelor’s degree required. 5+ years of experience in data engineering, including developing ETL/ELT, data pipelines, data lakes, data warehouses, and data integration solutions. 3+ years of experience on data engineering teams, preferably in a financial services or banking domain. 3-5 years' experience with Cloud platforms (AWS, Azure, GCP, Databricks, Snowflake); Databricks preferred; Python programming or advanced SQL coding and performance tuning. Experience with 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 with orchestration tools or job schedulers (Azure Data Factory, Airflow, or Luigi). Experience in data modeling/mastering, data quality, data governance, and data security standards. Experience with code repositories and version control tools (Azure DevOps, Git, etc.). Experience with analytical and data visualization tools (Power BI, Tableau, or Qlik). Experience working with Salesforce data and digital banking data is a plus. Strong T-SQL skills, including complex stored procedures, user-defined functions, and query optimization. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Banking Equal Opportunity
Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law.
#J-18808-Ljbffr
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. Responsibilities
Design, build, and optimize scalable data pipelines and products using Azure, AWS, Databricks, and Python. Develop modern cloud-based data solutions that support analytics, reporting, system integrations, and AI/ML. Leverage Python and SQL for automation and data processing while ensuring reliability, security, and performance across platforms. Work closely with analysts, data scientists, and business stakeholders to deliver high-quality and efficient data solutions. Salary
The salary range for this position is $62,300 – $122,430 per year. The base salary indicated reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on factors including responsibilities, candidate skills and experience, educational qualifications, and geographic location. Key Qualifications
Bachelor’s degree required. 5+ years of experience in data engineering, including developing ETL/ELT, data pipelines, data lakes, data warehouses, and data integration solutions. 3+ years of experience on data engineering teams, preferably in a financial services or banking domain. 3-5 years' experience with Cloud platforms (AWS, Azure, GCP, Databricks, Snowflake); Databricks preferred; Python programming or advanced SQL coding and performance tuning. Experience with 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 with orchestration tools or job schedulers (Azure Data Factory, Airflow, or Luigi). Experience in data modeling/mastering, data quality, data governance, and data security standards. Experience with code repositories and version control tools (Azure DevOps, Git, etc.). Experience with analytical and data visualization tools (Power BI, Tableau, or Qlik). Experience working with Salesforce data and digital banking data is a plus. Strong T-SQL skills, including complex stored procedures, user-defined functions, and query optimization. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Banking Equal Opportunity
Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law.
#J-18808-Ljbffr