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:

As part of the Data Platform team, you will build and maintain the cloud infrastructure and data pipelines needed for developing data-driven and machine-learning based products. Our team collaborates closely with other engineering and data science teams enabling products in Fraud Prevention, Digital Banking Personalization, Loan Pricing, and Self-Service Business Intelligence.

A Typical Day:

• Production Support: Start the day by reviewing the production data pipeline executions, investigating and resolving any failures.
• Development: Build and orchestrate data pipelines, defining data flow, transformations, and relationships between datasets.
• Observability: Monitor and optimize data pipelines for performance and efficiency. Spot trends and implement improvements before they become a problem.
• Collaboration: Work closely with other teams and stakeholders to understand data requirements and ensure that our data platform solutions meet business needs.

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

• A Bachelor’s degree in Computer Science, Information Systems or similar plus a minimum of 5 years of related work experience; or an advanced degree with 3+ years of experience
• Advanced knowledge of data transformations, data orchestration and pipelines, data replication
• Working knowledge of SQL and NoSQL databases, data warehouses, distributed file storage and compute platforms 
• Good understanding of software engineering, distributed software design and data-centric systems architecture 

• Data Movement and Pipelines: Apache Airflow, dbt, Kafka, AirByte
• Data Warehouse: Snowflake
• Databases: SQL Server, Postgres, DynamoDB
• Languages: Python, C#, Golang, Bash, SQL 
• CI/CD tools and infrastructure as code deployment: GitLab, Azure DevOps, Terraform, Argo CD
• Containerization: Kubernetes, Docker 
• Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker

#LI-CH1

This position requires fluent written and oral communication in English.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Health & Wellness

• Hybrid Work Opportunities

• Flexible Time Off 

• Career Development & Mentoring Programs 

• Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents 

• Community Volunteering & Company Philanthropy Programs 

• Employee Peer Recognition Programs – “You Earned it”

Click here to find out more about the benefits we offer.

How We Give Back to the Community:

You can learn more about our Q2 Spark Program, Q2 Philanthropy fund, and our employee volunteering programs on our Q2 Community page.