Data Engineer

Q2 • Austin, TX

1d • Hybrid

About The Position

Q2 is a leading provider of digital banking and lending solutions, committed to building strong and diverse communities through innovative financial technology. The company fosters a supportive and inclusive environment, investing in employee growth through learning opportunities, mentorship, and internal mobility, and promoting collaboration through events like Dodgeball for Charity. The Risk & Fraud team at Q2 helps customers proactively manage fraud and risks by building and enhancing products that evolve with the ever-changing fraud landscape. In this Data Engineer role, you will be responsible for building and operating the data architecture to support new and evolving fraud solutions. This involves ensuring data is reliable, scalable, and accessible to power models, agents, and UIs that directly impact customers' ability to detect and prevent fraud. This position offers an opportunity to work on production systems with real-world impact while growing skills in data engineering, cloud platforms, and distributed systems.

Requirements

• 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
• Experience building and maintaining data pipelines and workflows in production environments
• Proficiency in SQL and working with relational and/or analytical data stores
• Experience with Python
• 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
• 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
• 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

Nice To Haves

• Experience with tools such as Apache Airflow, dbt, Kafka, Airbyte, or FiveTran
• Experience with Snowflake or similar cloud data warehouses
• Experience with SQL Server, PostgreSQL, or NoSQL systems like DynamoDB
• Familiarity with infrastructure as code tools (e.g. Terraform)
• Experience with Docker and/or Kubernetes
• Exposure to platforms like Databricks, AWS Glue, AWS Sagemaker, Snowpark
• Experience with languages like C#, Golang, Bash
• Experience with CI/CD tools and infrastructure as code like GitLab, Azure DevOps, Argo CD
• Experience with Data Tools like Pyspark, Pandas

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
• Production Support: Start the day by reviewing production data pipeline executions, investigating and resolving failures
• Development: Build and orchestrate data pipelines, defining data flow, transformations, and dataset relationships
• Observability: Monitor and optimize data pipelines for performance and efficiency
• Collaboration: Work closely with teams and stakeholders to understand data requirements and ensure platform solutions meet business needs

Benefits

• 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”
• Resources for physical, mental, and professional well-being
• Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees