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 Senior Data Engineer to join our Data Insights organization. As part of the Data Engineering team, you will build and maintain the Cloud infrastructure for developing and deploying data analytic products and core data transformation jobs. Our team collaborates closely with data scientists and other product engineering teams. Our goal is to enable Data Scientists to focus on creating data products through discovery and development of transformation jobs and machine-learning models, while ensuring their quick deployment to production. Our team supports the data and machine-learning aspects for multiple Q2 products including Online Banking, PrecisionLender and Fraud Prevention.

A Typical Day:

• Designs, implements, integrates, and tests complex infrastructure and software solutions.  Plans, leads, and coordinates development projects including activities of other team members. 

• Provides technical leadership and mentorship for other team members. Reviews and critiques designs and implementations. 

• Facilitates collaboration of working team and often engages with stakeholders and product owners. Ensures development commitments and objectives are achieved.  

• Communicates technical content effectively and drives technical discussions. 

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

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

• 8+ 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 with several of the technologies we currently use: 

• Cloud Providers: AWS, Azure 

• Data Pipelines: Apache Airflow, dbt 

• Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker

• Databases: Snowflake, SqlServer, Postgresql 

• Containerization: Kubernetes, Docker 

• Languages: Python, C#, Golang, Bash, SQL 

• CI/CD: GitLab, Azure DevOps

• SCM: Git, Github, GitLab 

We look for engineers that are comfortable working in a team setting as well as working individually under their own responsibility. Regardless of experience level, all our engineers strive to learn more than they knew yesterday. We pride ourselves on elevating the folks around us. We grow leaders and encourage engineers at all levels of experience to take ownership of challenging work.  

This position requires fluent written and oral communication in English.

Applicants must be authorized to work for any employer i