Why Join 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.
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.
SUMMARY
Q2 is seeking an Associate Data Engineer with a solid foundation in data ingestion and transformation, SQL, Python, and PySpark. Experienced in developing and maintaining ELT/ELT pipelines, validating data, and ensuring data quality across environments. Familiar with cloud platforms and modern data engineering tools such as Snowflake, DBT, Airflow, and Azure. Works closely with senior engineers to understand requirements and deliver reliable, scalable data solutions
RESPONSIBILITIES • 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 EXPERIENCE AND KNOWLEDGE • Typically requires a Bachelor's degree in Computer Science, Information Systems, or equivalent experience and may require up to 2 years of related experience; or an advanced degree without experience • Strong analytical and problem-solving skills • Aptitude, drive, and desire to learn technology • Ability to learn concepts quickly and work out complex logic problems • Knowledge of basic programming concepts and at least one programming language • Experience with some of the technologies is desired: o Cloud Providers: Azure, AWS o Containerization: Kubernetes, Docker o Data Pipelines: Apache Airflow o Data Tools: Pyspark, Pandas, Databricks, SageMaker, Athena o Databases: SQL Server, Postgresql o Languages: Python, Golang, Bash, SQL o SCM: Git, Github, GitLab o CI/CD: Azure DevOps, GitLabThis position requires fluent written and oral communication in English.
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.
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.