As passionate about our people as we are about our mission.

What We’re All About:

Q2 is proud of delivering our mobile banking platform and technology solutions, globally, to more than 22 million end users across our 1,300 financial institutions and fintech clients.  At Q2, our mission is simple: Build strong, diverse communities by strengthening their financial institutions. We accomplish that by investing in the communities where both our customers and employees serve and live.

What Makes Q2 Special?

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.

Are you passionate about data and experienced in establishing processes that enable business decision-making? Q2 is seeking a Senior Application Developer – Data and Integrations to join our enterprise solutions data and architecture group. In this role, you will support and optimize our data and data pipeline architecture, as well as ensure optimal data integration and business process automation across cross-functional teams. 

The ideal candidate is a skilled data pipeline builder and integrator who enjoys working hands-on with complex datasets and data integration/IPaas tools. You will collaborate with stakeholders, system architects, and business owners to create and maintain seamless integration solutions while supporting ongoing projects and improving operational efficiencies. 

Key Responsibilities: 

• Data Integration and Process Improvement: 

• Design, build, and maintain interfaces between various systems, ensuring seamless data integration. 

• Identify and implement internal process improvements by automating manual processes and optimizing data delivery. 

• Support integration-related technical issues and assist with data infrastructure needs across teams. 

• Data Pipeline and Architecture Optimization: 

• Develop new application <