Senior Data Engineer

Overview

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.

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.

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.

Summary

Seeking a Senior Data Engineer with strong experience in Snowflake, Python, DBT,SQL, PySpark, AWS, and Airflow/orchestration tools. This role requires end-to-end pipeline development, data modeling, and leadership in driving engineering best practices. You will Design and build scalable ETL/ELT data pipelines using Python, PySpark, DBT, and AWS. Develop and optimize Snowflake data models and SQL transformations. Implement and manage workflows using Airflow or similar orchestration tools.

Responsibilities

• Design, develop, and maintain robust, scalable, and efficient data pipelines using Apache Airflow and DBT.
• Experience with real-time or streaming data pipelines.
• Knowledge of data modeling, ETL/ELT best practices and Identifying and addressing performance bottlenecks, and optimizing code and systems for improved speed and efficiency.
• Provides technical leadership and mentorship for other team members. Reviews and critiques designs and implementations
• Writing high-quality, efficient, and maintainable code, often with a focus on solving complex technical challenges.
• Facilitates collaboration of working team and often engages with stakeholders and product owners.
• Maintaining comprehensive technical documentation, including system architecture, code comments, and documentation to assist in understanding and maintaining the software.
• Effectively communicating technical concepts and project status to non-technical stakeholders.
  
  

• Degree in Computer Science, Information Systems, or equivalent experience
• 5+ years of related professional experience
  
  

• Data transformations, data pipelines, workflow automation, and scheduling systems
• Data-centric systems architecture
• Database systems, data warehouses, distributed file storage and compute platforms
  
  

• Cloud Providers: AWS, Azure
• Data Pipelines: Apache Airflow, DBT
• Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks
• Databases: Snowflake, SqlServer, Postgresql
• Containerization: Kubernetes, Docker
• Languages: Python, Bash, SQL
• CI/CD: Terraform, GitLab, Azure DevOps
• SCM: Git, Github, GitLab
  
  

• 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.

Our Culture & Commitment

We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact—in the industry and in the community.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.