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.

The Job At-A-Glance:

Q2 is seeking a Data Engineer to join our Data Insights organization. As part of the Data Engineering team, you will build and maintain the Cloud infrastructure for streaming data pipelines and messaging solutions. Our team collaborates closely with cross-functional teams to integrate Kafka into various applications and ensures optimal performance and reliability of the data infrastructure. 

A Typical Day:

• Design, implement, and manage Kafka-based data pipelines and messaging solutions to support critical business operations and enable real-time data processing. 

• Configure, deploy, and maintain Kafka clusters, ensuring high availability and scalability to maximize uptime and support business growth. 

• Monitor Kafka performance and troubleshoot issues to minimize downtime and ensure uninterrupted data flow, enhancing decision-making and operational efficiency. 

• Collaborate with development teams to integrate Kafka into applications and services. 

• Develop and maintain Kafka connectors such as JDBC, MongoDB, and S3 connectors, along with topics and schemas, to streamline data ingestion from databases, NoSQL data stores, and cloud storage, enabling faster data insights. 

• Implement security measures to protect Kafka clusters and data streams, safeguarding sensitive information and maintaining regulatory compliance. 

• Optimize Kafka configurations for performance, reliability, and scalability. 

• Automate Kafka cluster operations using infrastructure-as-code tools like Terraform or Ansible to increase operational efficiency and reduce manual overhead. 

Bring Your Passion, Do What You Love. Here’s What We’re Looking For:

• Degree in Computer Science, Information Systems, or equivalent experience 

• 3-5 years of related professional experience  

• Advanced knowledge in multiple areas of  

• data transformations, data pipelines, workflow automation, and scheduling systems   

• data-centric systems architecture  

• software engineering and distributed software design  

• database systems, data warehouses, distributed file storage and compute platforms  

• Experience