Data Engineer

The Role

In this role, you will take ownership for building and operating our data architecture to support new and evolving fraud solutions. You’ll play a key role in ensuring data is reliable, scalable, and accessible to power models, agents, and UIs directly impacting our customers' ability to detect and prevent fraud.

What Makes Q2 Special?

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.

Responsibilities

• Design, build, and maintain scalable data pipelines and workflows in a cloud environment
• Deliver clean, well-structured datasets to support fraud analytics, machine learning models, and agentic solutions
• Contribute to improving our data architecture, including ingestion, storage, and access patterns
• Own data operations by monitoring data workflows, triaging failures, and resolving data issues
• Enhance observability and performance by implementing monitoring and optimizing pipelines for reliability, scalability, and cost efficiency
• Partner with product managers, data scientists, and engineers to translate fraud and risk requirements into data solutions
• Write maintainable code; participate in code reviews; and help improve testing, deployment, and documentation standards

Experience and Knowledge

• Typically requires a Bachelor’s degree in (relevant degree) and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work 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
• Experience with some of the following technologies is a plus: o Data Movement and Pipelines: Apache Airflow, dbt, Kafka, AirByte o Data Warehouse: Snowflake o Databases: SQL Server, Postgres, DynamoDB o Languages: Python, C#, Golang, Bash, SQL o CI/CD tools and infrastructure as code: GitLab, Azure DevOps, Terraform, Argo CD o Containerization: Kubernetes, Docker o Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker

Qualifications

• Experience building and maintaining data pipelines and workflows in production environments
• Proficiency in SQL and working with relational and/or analytical data stores
• Familiarity with data modeling, transformation, and orchestration concepts
• Experience with data warehouses and distributed data processing systems
• Experience with version control (e.g., Git) and CI/CD practices
• Ability to troubleshoot data issues, debug pipelines, and work through ambiguous problems

Benefits

• Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
• Career Development & Mentoring Programs
• Community Volunteering & Company Philanthropy Programs
• Employee Peer Recognition Programs – “You Earned it”

About Q2

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers.